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  • Analysis of key elements and technical specifications of Counter-UAV aircraft systems
    04-19 2025
      Globally, both civil and military fields are actively promoting the research and development of counter-UAV technologies, including, but not limited to, early warning, detection, tracking, jamming, decoying, controlling, capturing, and destroying. This paper analyzes and summarizes the key elements and technical specifications of counter-UAV systems by researching domestic and foreign systems for readers' study and reference.   1. Key Elements of Counter-UAV   The Counter-UAV system is a complex software and hardware system involving multiple links, requiring the collaborative work of multiple sensors and systems and the fusion of tactics, technologies, and processes utilizing Counter-UAV. In terms of business processes, it consists of six phases: early warning detection, alert identification, disposal decision-making, defense implementation, threat deactivation, and effectiveness evaluation.   (1) Early warning detection phase.   Non-stop detection is carried out through a variety of drone monitoring technologies such as radar, 5G-A, radio detection, photoelectricity, sound, ADS-B and RemoteID, etc. (for the analysis of different detection technologies, please refer to the analysis of [Low Altitude Surveillance] Non-Cooperative Target Surveillance Technology and [Low Altitude Surveillance] Cooperative Target Remote Recognition Technology), to capture the signals of the suspected “black flight” drones. “At the same time, an alarm is issued and functional departments are notified to deal with it, and the alarm information should include key parameters such as the target's initial position, altitude, speed, and flight direction. The focus at this stage is to have the ability to discover and locate low-slow and small targets, to obtain preliminary intelligence, and to pay attention to indicators such as probability of detection, probability of false alarms, detection accuracy, and alarm delay. (2) Alert identification phase.   Functional departments verify the alert information and continue to implement stable tracking, further identifying the type of target (manned aircraft, unmanned aircraft, airborne objects, etc.) through cross-comparison, algorithmic evaluation, and data analysis of multiple detection means. For example, the photoelectric equipment captured the target image and corroborated it with the radar data to identify it as a black-flying drone, or the radio detection equipment confirmed it as a certain brand of drone through spectrum analysis. The focus of this stage is to have the ability to identify and track low and slow small targets, to provide support for subsequent disposal, and to pay attention to indicators such as the frequency of detecting information updates, tracking stability, identification accuracy, and identification decision time. (3) Disposal decision-making stage.   Functional departments analyze the flight trajectory and possible destinations of black-flying drones based on detection and identification intelligence, combined with artificial intelligence and other technology-assisted decision-making, judge their flight status and flight intentions, conduct risk assessment of the target (risk of intrusion into sensitive areas, risk of conflict on existing routes, etc.), activate corresponding emergency response plans for different levels of threat, and form a proposal for disposal by combining policies, regulations and on-site conditions ( Confirm whether a strike is required for disposal). At this stage, the focus is on clarifying the threat level of the target and quickly forming a disposal recommendation, paying attention to indicators such as track prediction capability, risk assessment efficiency, reasonableness of the disposal recommendation, and response time. (4) Defense implementation stage.   Functional departments according to the disposal of different threats and other targets suggested the implementation of black-flying UAV countermeasure strikes, which can be carried out through electromagnetic jamming, satellite positioning jamming, acoustic jamming, hacking technology and other jamming blocking class technology, but also through the capture network, drone capture, eagle capture and other interception capture class technology, as well as missiles, laser weapons, microwave weapons, fighting UAVs, as well as conventional firepower, and other direct destruction class methods (different countermeasure techniques can be analyzed in [Low Altitude Countermeasure] UAV Countermeasure Technique Analysis). Taking different threat level targets as an example, for low threat level, the controller of the drone can be warned through radio signals to leave the no-fly zone immediately; for medium threat level, signal jamming means are used to block the communication between the drone and the controller, forcing the drone to return to its flight path or to land; and for high threat level, signal jamming is used along with intercepting and destroying means, such as the launching of a net catching device or the use of laser strikes, when necessary. . While implementing countermeasure strikes, keep a record of the violation, execute the corresponding emergency plan (such as crowd evacuation, emergency shelter, etc.), and continuously follow up on the results of the countermeasure strikes to dynamically adjust the countermeasure strategy. The focus of this stage is on the strategy implementation of defense and the effect of strikes, paying attention to the reasonableness and timeliness of the countermeasure strategy, the success rate of countermeasure strikes, response time, and other indicators. (5) Threat removal phase.   Functional departments carry out continuous monitoring of the countermeasure effect and airspace situation to ensure that the countermeasure strikes are successful, that ground buildings and personnel, existing routes and flights in the monitored airspace are no longer affected by black-flight interference or countermeasure equipment, and that communication, navigation, meteorological and other security systems have returned to normal, i.e., the threat has been lifted, and that the threat is lifted by informing the relevant units and personnel about it and by gradually restoring the normal air routes. This stage focuses on the formulation of threat-release criteria, which requires a full assessment of the effectiveness of countermeasures and the security of airspace. (6) Effectiveness assessment phase.   Functional departments collect data and information during the disposal process, including the time and effect of detection and countermeasures, the linkage between departments and systems, and the impact caused, to improve the effectiveness assessment criteria and adjust the countermeasure strategies and contingency plans for the defense implementation phase as needed. In addition, the black flight incident is dealt with after the fact, and the violators and affiliated units are investigated, evidenced, and disposed of. This phase focuses on the evaluation of countermeasure effectiveness, paying attention to indicators such as the success rate, effectiveness, and response time of countermeasure strikes. 2. Counter-UAV Technical Specification   For the technical specification of Counter-UAV system, the group standard “General Requirements for Low, Slow and Small UAV Detection and Countermeasure System” (TSZUAVIA001-2021) was issued by Shenzhen UAV Industry Association in 2021, which is the first domestic general standard involving low, slow and small drone detection and countermeasure system, the standard integrates a variety of drone detection and countermeasure technologies, and the requirements stipulated in the standard provide a reference basis for the The requirements stipulated in the standard provide a reference basis for the overall performance, design and production, test and inspection, and application development of low-slow-small UAV detection and countermeasure products and services. In 2024, China Aircraft Owners and Pilots Association (AOPO) approved and issued two standards, “Technical Requirements for Handheld UAV Detection and Countermeasures Equipment” (T/AOPA 0067-2024) and “Technical Requirements for Fixed UAV Detection and Countermeasures Equipment” (T/AOPA 0068-2024), which stipulate the functions, features, performance indicators and technical requirements of handheld and fixed UAV detection and countermeasures equipment. It specifies the functions, features, performance indexes, and technical requirements of handheld and fixed drone detection and countermeasure equipment. The equipment level will focus on the detection and countermeasure coverage band range, angle, and radius, detection real-time and accuracy, equipment adaptability to complex environments, deployment flexibility, practicability, security, networking capability, as well as transmitting frequency, power, and other indicators. Combining the system-level indicators mentioned in the key elements of the counter-UAV system, including detection probability, false alarm probability, detection accuracy, alarm delay, information update frequency, tracking stability, identification accuracy, identification decision time, trajectory prediction capability, risk assessment efficiency, rationality of disposal recommendations and response time, and the success rate and response time of countermeasure strikes, etc., we can use this to build counter-UAV software and hardware system that meets the needs of urban security defense and control.   In general, compared with the rapid development of drone technology, counter-UAV systems are lagging in terms of both technical means and standardization due to factors such as late start, low attention, and limited application scenarios. However, with the establishment of the Low Altitude Department of the National Development and Reform Commission (NDRC) in December 2024, which puts forward the development principle of “openness can only be achieved through proper management”, and the Central Air Traffic Control Office (ATCO) launching a pilot program in six cities, including Shenzhen, Hangzhou, Hefei, Suzhou, Chengdu, and Chongqing, to authorize the local government to test and validate the infrastructure safeguard capability and safety prevention and control capability in airspace below 600 meters, it is believed that the technological route and standard specification of the counter-UAV system will gradually become clearer and clearer. It is believed that the technical route and standardization of counter-UAV systems will gradually become clear, and the related industrial ecology and core technology are expected to accelerate the development.   3. Counter-UAV technology outlook Future counter-UAV systems will need to focus on moving toward multimodal, intelligent, and low-cost development.   (1) Constructing a multimodal collaborative defense system.   At present, traditional individual UAV detection and countermeasures have shown their limitations when dealing with swarms composed of multiple UAVs of different types and functions, and because UAVs tend to be smaller, faster, more resistant to interference, more diverse, and more intelligent, for a long time to come, detection and countermeasure technology will lag behind the development speed of UAV technology, and it will be necessary to “see the trick and take it away”, so it will be necessary to integrate a variety of detection and countermeasure technologies, and to continuously improve the functions and performance of equipment, to build a multimodal collaborative defense system, and it will be necessary to realize a seamless connection from the detection to the countermeasure stage. In the detection phase, the system utilizes multi-sensor synergy and multi-source data fusion technology to realize all-around, all-weather monitoring of the airspace and accurately detect and identify different types of UAVs. In the countermeasure phase, the system makes decisions according to different strike targets and different countermeasure scenarios, selects the most suitable countermeasures, integrates soft and hard kills into one, and forms an all-around, multi-level intelligent countermeasure network. (2) Enhance the intelligence level of counter-UAV systems.   Compared with the traditional counter-UAV technology that relies on manual intervention, AI can give the counter-UAV system a higher level of intelligence, which can significantly improve the efficiency of detection, decision-making, and countermeasures, and reduce the risk of manual misoperation. For example, through deep learning, AI can simulate a large number of counter-UAV scenarios to accurately distinguish between the target UAV and the surrounding objects, and even accurately recognize the subtle differences between different UAVs, and this excellent recognition and classification ability enables the counter-UAV system to accurately lock onto the target. For example, the trained AI can continuously optimize the decision-making deployment of the counter-UAV system, select the most suitable countermeasures according to the real-time situation, and precisely control the countermeasure equipment to carry out strikes, and in terms of decision-making accuracy, operational response speed and precision, the AI shows potential to surpass experienced operators. In addition, the future counter-UAV system will be more complex, with more frequent module interactions, and the integration of AI technology with all aspects of the counter-UAV system is a general trend. (3) Improvement of cost-efficiency ratio and technological innovation.   Low cost-effectiveness is a major constraint on the development of counter-UAV technology. Currently, most drone detection and countermeasure technologies fail to effectively balance performance and cost, which will greatly affect the willingness of customers to invest in them, thereby affecting the sustainable development of the industry. In addition, most traditional counter-UAV equipment is fixed to the ground and lacks flexibility, with limited detection and countermeasure distances, and continued reliance on traditional equipment to counter-UAV will lead to an exacerbation of the problem of efficiency and cost ratio in counter-UAV technology. To solve this problem, there is a need to develop high-performance counter-UAV equipment that is lightweight and highly flexible, such as the use of portable jamming guns and vehicle-mounted detection and countermeasures combined with the use of counter-UAV systems, or the South Korean Block-I laser weapon with a containerized design, which can be rapidly deployed at borders or in cities. In the future, by lightening and miniaturizing more UAV detection and countermeasure equipment and integrating them into highly flexible mobile platforms such as drones, the problem of the low cost-effectiveness of existing counter-UAV technology can be solved to a certain extent, further promoting the development of counter-UAV technology.   https://www.atnjtech.com/sale-53168524-atnj-customized-wideband-20-700mhz-gan-amplifier-ultra-band-high-power-gan-amplifier-for-2g-3g-4g-5g.html
  • Microwave Frequency-Shifting Repeater System
    07-04 2025
                                    Microwave Frequency-Shifting Repeater System       The Microwave Frequency-Shifting Repeater is a fundamental tool for extending microwave backbone networks. By receiving a signal on one frequency, amplifying it, and retransmitting it on a different frequency, it overcomes the critical feedback problem inherent in simple amplification. This characteristic, combined with high gain, directional antennas, and robust design, allows network operators to bypass LOS obstacles and economically expand coverage and capacity across challenging terrains, forming the invisible backbone for critical communication services.   Diagram   Operating Principle of the RF/Microwave Frequency-Converting Near-End Unit (MU+RU) in a Microwave Frequency-Shifting Repeater System--The MU consists of a MU radio frequency unit, a near-end microwave RU, and a microwave antenna. The microwave unit and the RF unit are connected with a coaxial cable. The power supply mode of the microwave unit is coaxial cable feeding mode.   Product Features: • Frequency Translation: Receives an incoming microwave signal on one specific frequency •Self-Interference Mitigation: The primary purpose of frequency shifting is to avoid feedback oscillation •Simplex Operation: Typically operate in one direction •Spectrum Utilization: Consume additional spectrum resources because they transmit on a different frequency than they receive •Deployment Flexibility: Enable coverage extension in areas where direct fiber or cable installation        
  • UAV Detection Jamming System Description V1.0
    06-11 2025
    Function Description of Each Module of the System   1. Log-periodic Antenna_1 Band frequency: 25 MHz - 6000 MHz. It is responsible for the transmission and reception of radio frequency signals. It can radiate the processed signals into space (for transmission), and also capture the radio frequency signals in space (for reception), achieving the "air interface" between the signal and the outside world.   2. RF Switch Used for switching the RF signal path, it enables flexible selection of the signal transmission route. For instance, under different test modes and interference strategies, the signal can be directed to different processing modules, antennas, etc., thereby achieving flexible configuration of the system functions.   3. Amplifier Set1 Amplify the radio frequency output signal to enhance the signal strength, ensure that the test signal can reach the expected coverage range and power level, and optimize the quality of the transmitted signal.   4. LNA1 Perform pre-amplification on the received signal of the antenna to enhance the signal-to-noise ratio, enabling subsequent signal processing modules to handle the signal more clearly and accurately. This is commonly used to improve the reception of weak signals.   5. Log-periodic Antenna_2 Band frequency: 400 MHz - 6 GHz. This part is responsible for transmitting the radio frequency signals generated by the system (such as interference signals, test signals) into space to achieve spatial coverage of the signals and act on target devices (such as unmanned aircraft).   6. Amplifier Set2 According to the interference requirements, the radio frequency signal is amplified to increase its power, ensuring that the interference signal or test signal can reach the expected coverage range and power level, and meeting the signal strength requirements for scenarios such as "interference (Jamming)".   7. LNA1 Perform pre-amplification on the received signals of the antenna to enhance the signal-to-noise ratio, enabling subsequent signal processing modules to handle the signals more clearly and accurately. This technique is often used to improve the reception of weak signals.   8. Log-periodic Antenna_3 Band frequency: 400 MHz - 6 GHz. Specifically designed for receiving radio frequency signals, it can accurately capture signals within a specific frequency range, providing input for the signal detection and analysis module. It is commonly used to enhance the reception capability of target signals.   9. SDR_8T8R The SDR's 8T8R board card is used to complete the signal detection and processing functions. It mainly includes the signal generation module, the RF signal switch control module, and the receiving signal processing module (signal detection and analysis). The channel control module (which can distribute the generated or processed signals to different antennas, detection devices, etc., to meet the requirements of multi-channel and multi-target signal applications). It has the function of broadband signal detection and analysis, which can detect parameters such as the frequency, power, and modulation characteristics of the signal. At the same time, it can be used as an excitation source to output specific signals, for signal quality detection, characteristic analysis, and system performance verification.   10. Reinforce Computer As the "brain" of the system, it enables remote control, parameter configuration and process management of the entire RF system. By communicating with the SDR board card, it allows setting the parameters of the signal generation module, controlling the RF switch paths, accessing the detection and analysis functions, and presenting the system status and signal data, making it convenient for operators to manage the system operation.
  • Digital Optical Multi-frequencies &Multi-subbands DAS 
    03-03 2025
        The LTE/NR digital DAS is divided into two or mult units, the Master Unit (MU) and Remote Unite (RU). Digital DAS is a new system solution that extends the radio frequency part of the base station to serve multiple frequency bands by means of digital processing, digital fiber transmission and software radio technology. Support the integration of multiple systems and one network coverage, to solve the problems of difficult Macro station construction, high cost, low rate of return, improve user experience, reduce the cost of network construction. Working Schematics ---MIMO Features Support NSA+SA mode. Support Sub-band bandwidth 10~100MHz optional. The real speed test up to 300Mbps+($lS0) Built-in 5G base band synchronous detection module (SDM). 5G TDD UL & DL time slot and special sub-frame can be flexibly configured by software. Built-in Auto Gain Control(AGC)& Auto Level Control(ALC). Support APP & USB local control, optional built-in Modem remote monitoring. Supports lP65 protection levels. Optional spatial & direct coupling provides flexible deployment. Supports remote cascading mode, with a maximum of six layers in theory The NMS plays a crucial role in overseeing and managing the operations of RPT within the internet. Its main functions include: ① Monitoring and Control: The center monitors the status and performance of RPT in real-time, ensuring smooth operation and identifying issues promptly. ② Configuration Management: It handles the configuration of RPT, including parameter settings, software updates, and network adjustments. ③ Fault Management: Detecting and troubleshooting faults in devices to minimize downtime and ensure continuous network availability. ④ Performance Management: Analyzing and optimizing the performance of RPT to enhance network efficiency and user experience. ⑤ Security Management: Implementing security measures to safeguard RPT operations and data from potential threats. ⑥ Network Planning: Assisting in the planning and deployment of new RPT to expand network coverage and capacity. ⑦ Reporting and Analysis: Generating reports on network performance, trends, and issues for decision-making and improvement purposes.
  • In Cabinet Active RF Module&parts (OEM support)
    03-03 2025
    In Cabinet Passive RF Module&parts (OEM support) RF Chip(OEM Support)    
  • ANT-Signal DAQ
    05-13 2025
    Product Description ANT-Signal DAQ is the core board of the RF Direct Data Acquisition Card Development Board and its supporting development platform. The platform is built based on AMD KintexT™ UltraScale+T™ KU5P FPGA, 8T8R RF direct pickup transceiver TR8165b, GD32F425 ARM microcontroller, AD9528 clock management chip, power management module, RAM and Flash memory, and supports PCle Gen4.0x4 interface, dual 16G SFP optical port, USB serial port, JTAG debugging interface and RS485 industrial bus and other rich interfaces.   This development platform supports 8-channel 14-bit ADC (maximum sampling rate of 5.8GSPS) and 8-channel 14-bit DAC (maximum sampling rate of 9.85GSPS), which can realize the direct sampling of RF signals, effectively reduce the complexity of the RF signal processing link, and reduce system power consumption. It can meet the requirements of 5G/LTE wireless communication technology, phased array radar, UAV countermeasure system, monitoring and defense control and other high-performance RF applications.   Technical specifications FPGA: KintexTM UltraScaleTM+ KU5P FPGA On-board storage: 128Mbit QSPI memory (for startup configuration) Interface: direct connection to FPGA via PCle Gen4.0X4 interface SFP Optical Port: 2X16G SFP+ Optical Port   Clock Interfaces The onboard AD9528 clock management chip can output up to 12 clock signals 50MHz crystal (FPGA clock source) 156.25MHz crystal (for 10Gb Ethernet) 125MHz crystal (for PCle interface)   BMC Management Controller Voltage/current/temperature monitoring Field firmware upgrades, configuration file anti-copy protection Clock Configuration, Power Timing Management and Reset Control FPGA Configuration and Control   Extension interface: USB serial port, RS485 industrial bus, JTAG debugging interface   Power supply Support PCl-E slot power supply Supports external +24V DC power supply; maximum power consumption 40W   Working temperature: -40°C~+85°C Quality Standard: Comply with IPC-A-6102 production standard and RoHS environmental protection standard. Size: 168x112x28mm (PCle slot specification)   Software Packages/Board Support Packages Firmware loading Firmware Upgrade Device Management Standard Firmware Demo Program
  • Analysis of key elements and technical specifications of Counter-UAV aircraft systems
    04-19 2025
      Globally, both civil and military fields are actively promoting the research and development of counter-UAV technologies, including, but not limited to, early warning, detection, tracking, jamming, decoying, controlling, capturing, and destroying. This paper analyzes and summarizes the key elements and technical specifications of counter-UAV systems by researching domestic and foreign systems for readers' study and reference.   1. Key Elements of Counter-UAV   The Counter-UAV system is a complex software and hardware system involving multiple links, requiring the collaborative work of multiple sensors and systems and the fusion of tactics, technologies, and processes utilizing Counter-UAV. In terms of business processes, it consists of six phases: early warning detection, alert identification, disposal decision-making, defense implementation, threat deactivation, and effectiveness evaluation.   (1) Early warning detection phase.   Non-stop detection is carried out through a variety of drone monitoring technologies such as radar, 5G-A, radio detection, photoelectricity, sound, ADS-B and RemoteID, etc. (for the analysis of different detection technologies, please refer to the analysis of [Low Altitude Surveillance] Non-Cooperative Target Surveillance Technology and [Low Altitude Surveillance] Cooperative Target Remote Recognition Technology), to capture the signals of the suspected “black flight” drones. “At the same time, an alarm is issued and functional departments are notified to deal with it, and the alarm information should include key parameters such as the target's initial position, altitude, speed, and flight direction. The focus at this stage is to have the ability to discover and locate low-slow and small targets, to obtain preliminary intelligence, and to pay attention to indicators such as probability of detection, probability of false alarms, detection accuracy, and alarm delay. (2) Alert identification phase.   Functional departments verify the alert information and continue to implement stable tracking, further identifying the type of target (manned aircraft, unmanned aircraft, airborne objects, etc.) through cross-comparison, algorithmic evaluation, and data analysis of multiple detection means. For example, the photoelectric equipment captured the target image and corroborated it with the radar data to identify it as a black-flying drone, or the radio detection equipment confirmed it as a certain brand of drone through spectrum analysis. The focus of this stage is to have the ability to identify and track low and slow small targets, to provide support for subsequent disposal, and to pay attention to indicators such as the frequency of detecting information updates, tracking stability, identification accuracy, and identification decision time. (3) Disposal decision-making stage.   Functional departments analyze the flight trajectory and possible destinations of black-flying drones based on detection and identification intelligence, combined with artificial intelligence and other technology-assisted decision-making, judge their flight status and flight intentions, conduct risk assessment of the target (risk of intrusion into sensitive areas, risk of conflict on existing routes, etc.), activate corresponding emergency response plans for different levels of threat, and form a proposal for disposal by combining policies, regulations and on-site conditions ( Confirm whether a strike is required for disposal). At this stage, the focus is on clarifying the threat level of the target and quickly forming a disposal recommendation, paying attention to indicators such as track prediction capability, risk assessment efficiency, reasonableness of the disposal recommendation, and response time. (4) Defense implementation stage.   Functional departments according to the disposal of different threats and other targets suggested the implementation of black-flying UAV countermeasure strikes, which can be carried out through electromagnetic jamming, satellite positioning jamming, acoustic jamming, hacking technology and other jamming blocking class technology, but also through the capture network, drone capture, eagle capture and other interception capture class technology, as well as missiles, laser weapons, microwave weapons, fighting UAVs, as well as conventional firepower, and other direct destruction class methods (different countermeasure techniques can be analyzed in [Low Altitude Countermeasure] UAV Countermeasure Technique Analysis). Taking different threat level targets as an example, for low threat level, the controller of the drone can be warned through radio signals to leave the no-fly zone immediately; for medium threat level, signal jamming means are used to block the communication between the drone and the controller, forcing the drone to return to its flight path or to land; and for high threat level, signal jamming is used along with intercepting and destroying means, such as the launching of a net catching device or the use of laser strikes, when necessary. . While implementing countermeasure strikes, keep a record of the violation, execute the corresponding emergency plan (such as crowd evacuation, emergency shelter, etc.), and continuously follow up on the results of the countermeasure strikes to dynamically adjust the countermeasure strategy. The focus of this stage is on the strategy implementation of defense and the effect of strikes, paying attention to the reasonableness and timeliness of the countermeasure strategy, the success rate of countermeasure strikes, response time, and other indicators. (5) Threat removal phase.   Functional departments carry out continuous monitoring of the countermeasure effect and airspace situation to ensure that the countermeasure strikes are successful, that ground buildings and personnel, existing routes and flights in the monitored airspace are no longer affected by black-flight interference or countermeasure equipment, and that communication, navigation, meteorological and other security systems have returned to normal, i.e., the threat has been lifted, and that the threat is lifted by informing the relevant units and personnel about it and by gradually restoring the normal air routes. This stage focuses on the formulation of threat-release criteria, which requires a full assessment of the effectiveness of countermeasures and the security of airspace. (6) Effectiveness assessment phase.   Functional departments collect data and information during the disposal process, including the time and effect of detection and countermeasures, the linkage between departments and systems, and the impact caused, to improve the effectiveness assessment criteria and adjust the countermeasure strategies and contingency plans for the defense implementation phase as needed. In addition, the black flight incident is dealt with after the fact, and the violators and affiliated units are investigated, evidenced, and disposed of. This phase focuses on the evaluation of countermeasure effectiveness, paying attention to indicators such as the success rate, effectiveness, and response time of countermeasure strikes. 2. Counter-UAV Technical Specification   For the technical specification of Counter-UAV system, the group standard “General Requirements for Low, Slow and Small UAV Detection and Countermeasure System” (TSZUAVIA001-2021) was issued by Shenzhen UAV Industry Association in 2021, which is the first domestic general standard involving low, slow and small drone detection and countermeasure system, the standard integrates a variety of drone detection and countermeasure technologies, and the requirements stipulated in the standard provide a reference basis for the The requirements stipulated in the standard provide a reference basis for the overall performance, design and production, test and inspection, and application development of low-slow-small UAV detection and countermeasure products and services. In 2024, China Aircraft Owners and Pilots Association (AOPO) approved and issued two standards, “Technical Requirements for Handheld UAV Detection and Countermeasures Equipment” (T/AOPA 0067-2024) and “Technical Requirements for Fixed UAV Detection and Countermeasures Equipment” (T/AOPA 0068-2024), which stipulate the functions, features, performance indicators and technical requirements of handheld and fixed UAV detection and countermeasures equipment. It specifies the functions, features, performance indexes, and technical requirements of handheld and fixed drone detection and countermeasure equipment. The equipment level will focus on the detection and countermeasure coverage band range, angle, and radius, detection real-time and accuracy, equipment adaptability to complex environments, deployment flexibility, practicability, security, networking capability, as well as transmitting frequency, power, and other indicators. Combining the system-level indicators mentioned in the key elements of the counter-UAV system, including detection probability, false alarm probability, detection accuracy, alarm delay, information update frequency, tracking stability, identification accuracy, identification decision time, trajectory prediction capability, risk assessment efficiency, rationality of disposal recommendations and response time, and the success rate and response time of countermeasure strikes, etc., we can use this to build counter-UAV software and hardware system that meets the needs of urban security defense and control.   In general, compared with the rapid development of drone technology, counter-UAV systems are lagging in terms of both technical means and standardization due to factors such as late start, low attention, and limited application scenarios. However, with the establishment of the Low Altitude Department of the National Development and Reform Commission (NDRC) in December 2024, which puts forward the development principle of “openness can only be achieved through proper management”, and the Central Air Traffic Control Office (ATCO) launching a pilot program in six cities, including Shenzhen, Hangzhou, Hefei, Suzhou, Chengdu, and Chongqing, to authorize the local government to test and validate the infrastructure safeguard capability and safety prevention and control capability in airspace below 600 meters, it is believed that the technological route and standard specification of the counter-UAV system will gradually become clearer and clearer. It is believed that the technical route and standardization of counter-UAV systems will gradually become clear, and the related industrial ecology and core technology are expected to accelerate the development.   3. Counter-UAV technology outlook Future counter-UAV systems will need to focus on moving toward multimodal, intelligent, and low-cost development.   (1) Constructing a multimodal collaborative defense system.   At present, traditional individual UAV detection and countermeasures have shown their limitations when dealing with swarms composed of multiple UAVs of different types and functions, and because UAVs tend to be smaller, faster, more resistant to interference, more diverse, and more intelligent, for a long time to come, detection and countermeasure technology will lag behind the development speed of UAV technology, and it will be necessary to “see the trick and take it away”, so it will be necessary to integrate a variety of detection and countermeasure technologies, and to continuously improve the functions and performance of equipment, to build a multimodal collaborative defense system, and it will be necessary to realize a seamless connection from the detection to the countermeasure stage. In the detection phase, the system utilizes multi-sensor synergy and multi-source data fusion technology to realize all-around, all-weather monitoring of the airspace and accurately detect and identify different types of UAVs. In the countermeasure phase, the system makes decisions according to different strike targets and different countermeasure scenarios, selects the most suitable countermeasures, integrates soft and hard kills into one, and forms an all-around, multi-level intelligent countermeasure network. (2) Enhance the intelligence level of counter-UAV systems.   Compared with the traditional counter-UAV technology that relies on manual intervention, AI can give the counter-UAV system a higher level of intelligence, which can significantly improve the efficiency of detection, decision-making, and countermeasures, and reduce the risk of manual misoperation. For example, through deep learning, AI can simulate a large number of counter-UAV scenarios to accurately distinguish between the target UAV and the surrounding objects, and even accurately recognize the subtle differences between different UAVs, and this excellent recognition and classification ability enables the counter-UAV system to accurately lock onto the target. For example, the trained AI can continuously optimize the decision-making deployment of the counter-UAV system, select the most suitable countermeasures according to the real-time situation, and precisely control the countermeasure equipment to carry out strikes, and in terms of decision-making accuracy, operational response speed and precision, the AI shows potential to surpass experienced operators. In addition, the future counter-UAV system will be more complex, with more frequent module interactions, and the integration of AI technology with all aspects of the counter-UAV system is a general trend. (3) Improvement of cost-efficiency ratio and technological innovation.   Low cost-effectiveness is a major constraint on the development of counter-UAV technology. Currently, most drone detection and countermeasure technologies fail to effectively balance performance and cost, which will greatly affect the willingness of customers to invest in them, thereby affecting the sustainable development of the industry. In addition, most traditional counter-UAV equipment is fixed to the ground and lacks flexibility, with limited detection and countermeasure distances, and continued reliance on traditional equipment to counter-UAV will lead to an exacerbation of the problem of efficiency and cost ratio in counter-UAV technology. To solve this problem, there is a need to develop high-performance counter-UAV equipment that is lightweight and highly flexible, such as the use of portable jamming guns and vehicle-mounted detection and countermeasures combined with the use of counter-UAV systems, or the South Korean Block-I laser weapon with a containerized design, which can be rapidly deployed at borders or in cities. In the future, by lightening and miniaturizing more UAV detection and countermeasure equipment and integrating them into highly flexible mobile platforms such as drones, the problem of the low cost-effectiveness of existing counter-UAV technology can be solved to a certain extent, further promoting the development of counter-UAV technology.   https://www.atnjtech.com/sale-53168524-atnj-customized-wideband-20-700mhz-gan-amplifier-ultra-band-high-power-gan-amplifier-for-2g-3g-4g-5g.html
  • Microwave Frequency-Shifting Repeater System
    07-04 2025
                                    Microwave Frequency-Shifting Repeater System       The Microwave Frequency-Shifting Repeater is a fundamental tool for extending microwave backbone networks. By receiving a signal on one frequency, amplifying it, and retransmitting it on a different frequency, it overcomes the critical feedback problem inherent in simple amplification. This characteristic, combined with high gain, directional antennas, and robust design, allows network operators to bypass LOS obstacles and economically expand coverage and capacity across challenging terrains, forming the invisible backbone for critical communication services.   Diagram   Operating Principle of the RF/Microwave Frequency-Converting Near-End Unit (MU+RU) in a Microwave Frequency-Shifting Repeater System--The MU consists of a MU radio frequency unit, a near-end microwave RU, and a microwave antenna. The microwave unit and the RF unit are connected with a coaxial cable. The power supply mode of the microwave unit is coaxial cable feeding mode.   Product Features: • Frequency Translation: Receives an incoming microwave signal on one specific frequency •Self-Interference Mitigation: The primary purpose of frequency shifting is to avoid feedback oscillation •Simplex Operation: Typically operate in one direction •Spectrum Utilization: Consume additional spectrum resources because they transmit on a different frequency than they receive •Deployment Flexibility: Enable coverage extension in areas where direct fiber or cable installation        
  • UAV Detection Jamming System Description V1.0
    06-11 2025
    Function Description of Each Module of the System   1. Log-periodic Antenna_1 Band frequency: 25 MHz - 6000 MHz. It is responsible for the transmission and reception of radio frequency signals. It can radiate the processed signals into space (for transmission), and also capture the radio frequency signals in space (for reception), achieving the "air interface" between the signal and the outside world.   2. RF Switch Used for switching the RF signal path, it enables flexible selection of the signal transmission route. For instance, under different test modes and interference strategies, the signal can be directed to different processing modules, antennas, etc., thereby achieving flexible configuration of the system functions.   3. Amplifier Set1 Amplify the radio frequency output signal to enhance the signal strength, ensure that the test signal can reach the expected coverage range and power level, and optimize the quality of the transmitted signal.   4. LNA1 Perform pre-amplification on the received signal of the antenna to enhance the signal-to-noise ratio, enabling subsequent signal processing modules to handle the signal more clearly and accurately. This is commonly used to improve the reception of weak signals.   5. Log-periodic Antenna_2 Band frequency: 400 MHz - 6 GHz. This part is responsible for transmitting the radio frequency signals generated by the system (such as interference signals, test signals) into space to achieve spatial coverage of the signals and act on target devices (such as unmanned aircraft).   6. Amplifier Set2 According to the interference requirements, the radio frequency signal is amplified to increase its power, ensuring that the interference signal or test signal can reach the expected coverage range and power level, and meeting the signal strength requirements for scenarios such as "interference (Jamming)".   7. LNA1 Perform pre-amplification on the received signals of the antenna to enhance the signal-to-noise ratio, enabling subsequent signal processing modules to handle the signals more clearly and accurately. This technique is often used to improve the reception of weak signals.   8. Log-periodic Antenna_3 Band frequency: 400 MHz - 6 GHz. Specifically designed for receiving radio frequency signals, it can accurately capture signals within a specific frequency range, providing input for the signal detection and analysis module. It is commonly used to enhance the reception capability of target signals.   9. SDR_8T8R The SDR's 8T8R board card is used to complete the signal detection and processing functions. It mainly includes the signal generation module, the RF signal switch control module, and the receiving signal processing module (signal detection and analysis). The channel control module (which can distribute the generated or processed signals to different antennas, detection devices, etc., to meet the requirements of multi-channel and multi-target signal applications). It has the function of broadband signal detection and analysis, which can detect parameters such as the frequency, power, and modulation characteristics of the signal. At the same time, it can be used as an excitation source to output specific signals, for signal quality detection, characteristic analysis, and system performance verification.   10. Reinforce Computer As the "brain" of the system, it enables remote control, parameter configuration and process management of the entire RF system. By communicating with the SDR board card, it allows setting the parameters of the signal generation module, controlling the RF switch paths, accessing the detection and analysis functions, and presenting the system status and signal data, making it convenient for operators to manage the system operation.
  • Digital Optical Multi-frequencies &Multi-subbands DAS 
    03-03 2025
        The LTE/NR digital DAS is divided into two or mult units, the Master Unit (MU) and Remote Unite (RU). Digital DAS is a new system solution that extends the radio frequency part of the base station to serve multiple frequency bands by means of digital processing, digital fiber transmission and software radio technology. Support the integration of multiple systems and one network coverage, to solve the problems of difficult Macro station construction, high cost, low rate of return, improve user experience, reduce the cost of network construction. Working Schematics ---MIMO Features Support NSA+SA mode. Support Sub-band bandwidth 10~100MHz optional. The real speed test up to 300Mbps+($lS0) Built-in 5G base band synchronous detection module (SDM). 5G TDD UL & DL time slot and special sub-frame can be flexibly configured by software. Built-in Auto Gain Control(AGC)& Auto Level Control(ALC). Support APP & USB local control, optional built-in Modem remote monitoring. Supports lP65 protection levels. Optional spatial & direct coupling provides flexible deployment. Supports remote cascading mode, with a maximum of six layers in theory The NMS plays a crucial role in overseeing and managing the operations of RPT within the internet. Its main functions include: ① Monitoring and Control: The center monitors the status and performance of RPT in real-time, ensuring smooth operation and identifying issues promptly. ② Configuration Management: It handles the configuration of RPT, including parameter settings, software updates, and network adjustments. ③ Fault Management: Detecting and troubleshooting faults in devices to minimize downtime and ensure continuous network availability. ④ Performance Management: Analyzing and optimizing the performance of RPT to enhance network efficiency and user experience. ⑤ Security Management: Implementing security measures to safeguard RPT operations and data from potential threats. ⑥ Network Planning: Assisting in the planning and deployment of new RPT to expand network coverage and capacity. ⑦ Reporting and Analysis: Generating reports on network performance, trends, and issues for decision-making and improvement purposes.
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