Drone jammer and detection system is a multi-function drone anti-device, including two parts, that detected the drone and then blocks the drone, anti the drone signal, and lands the drone. Drones have wide market prospects. Small UAVs can be widely used in aerial photography, agricultural spraying, disaster prevention and mitigation, search and rescue, traffic supervision, resource exploration, aerial mapping, border patrol, meteorological detection and other fields. However, the lag in UAV control methods has resulted in many “black flying” incidents that cannot be supervised and cannot be held accountable, and the demand for drone detection and jammer is imminent. In the fields of military and civilian airports, major event support, core infrastructure, large venues, prisons, border defense and other fields, there is a strong demand for anti-UAV system products. However, there are still many challenges in the management and control of drones, and there will be more problems that need to be further studied and overcome in the future.
1 Technical difficulty of drone detection and anti.
1 Difficulty in UAV Detection Technology
Drone detection radar, Radar is the mainstream means of detecting air targets, but UAVs are typical low-altitude slow-speed small targets (referred to as “low-slow and small”) . The so-called “low, slow and small” refers to the general term for small aircraft and airborne objects that have the characteristics of low-altitude flight, slow flight speed, and difficulty to be detected and finding. These “low-slow-small” UAVs are low-cost, simple to control, easy to carry, and easy to obtain. They also have a strong liftoff and are difficult to find and dispose of. They are easily used as tools for carrying explosives, dropping biochemical agents, and disseminating leaflets.
The characteristics of “low, slow and small” targets determine the following difficulties in the detection of drone targets: first, the “low” characteristics lead to serious interference of background clutter such as ground clutter; secondly, the “slow” characteristics lead to the radar must have Good low-speed detection performance; finally, the “small” characteristics lead to the need for higher detection sensitivity and stability of the radar. Therefore, traditional radar does not perform well in dealing with UAVs, and even cannot meet the requirements of use. It is necessary to develop UAV detection radars in a targeted manner.
Radio signal monitoring, photoelectric identification tracking, and sound monitoring are also supplementary means of UAV detection and tracking. Therefore, these detection methods also face huge challenges.
1.2 Technical difficulties of drone blocker
After the drone is detected and identified, there are still many technical difficulties in anti-drone. If electromagnetic interference is used, the environmental requirements are relatively high, and it may cause joint interference to the surrounding electromagnetic environment; if laser and other destruction methods are used, it will cause secondary safety hazards to the ground, and it is not suitable for use in urban environments; if radio signals are used Hijacking and other methods are only applicable to some drones whose protocols have been cracked. Therefore, the disposal of drones after they are discovered is also a huge challenge.
2 Key technologies and analysis of drone detection.
2.1 Key technologies for UAV detection
UAV detection and identification is a comprehensive multi-disciplinary application technology, that is, through one or more technologies such as radar detection, radio signal monitoring, photoelectric identification tracking, sound monitoring, etc., to realize the detection, tracking and identification of UAVs . At present, there are a number of technologies that can realize the detection and identification of UAVs. The known technical means at home and abroad are as follows.
2.1.1 Radar detection
Radar detection is the detection and position measurement of the UAV by the radar system by emitting electromagnetic waves and using the principle of the reflection of the electromagnetic waves by the UAV body . The distance, altitude, azimuth and speed information of the target can be obtained by receiving and analyzing the reflected radar waves. Due to the “low, slow and small” characteristics of UAVs, traditional radars have poor detection performance. In recent years, some new radars developed for UAV detection have made some breakthroughs in radar signal design, signal processing algorithms, ground clutter suppression, etc., which have improved the performance of radars for UAV detection to a certain extent. Practical value.
2.1.2 Radio Signal Monitoring
Usually, both the flight control system and the drone data video transmission system of the drone will transmit radio signals during the flight. Radio signal monitoring is to analyze the spectrum characteristics of flight control signals and video transmission signals to realize the detection and identification of UAVs. Among them, the single-station direction-finding technology can monitor and calculate the azimuth information of the UAV, and at the same time use the received signal strength to roughly estimate the distance of the UAV; the multi-station time-difference positioning technology can solve the signal delay of the target relative to multiple receiving stations. Calculate the location information of the target. In addition, using the radio “fingerprint information” of UAVs, a black-and-white list of UAVs can be created to realize the management and control of UAVs, as well as accurate identification and early warning of UAVs.
2.1.3 Photoelectric Identification Tracking
There are two main types of photoelectric identification and tracking technologies: visible light identification and tracking and infrared identification and tracking.
Visible light recognition and tracking is to use visible light cameras to detect the video image of the target drone, so as to identify and confirm the target and track the target. This technology is suitable for use during the day, its equipment cost is low, and its application is more common.
Infrared identification and tracking is to use an infrared camera to detect the infrared image of the target UAV, and then identify and track the UAV. In fact, all objects with a temperature higher than absolute zero are radiating infrared rays, and the battery and motor of the drone will generate heat during the flight, which provides an opportunity for the application of infrared identification and tracking technology. The technology can be used around the clock, but its application is limited due to its high equipment cost.
Photoelectric identification tracking generally requires the guidance of detection and discovery methods. As a tracking confirmation method, it can visually track the target and enable users to observe it intuitively. In addition, photoelectric identification and tracking can automatically identify the target through image means, so video forensics can be carried out.
2.1.4 Sound Monitoring
When the drone is flying, the high-speed rotation of the propeller will generate a certain degree of noise, and different drones have different voiceprint characteristics. Sound monitoring is to receive, collect, and analyze this noise, and realize the monitoring discovery and model identification of UAVs through intelligent matching with the information in the existing voiceprint feature database. As a passive monitoring method, this technology has good concealment. At the same time, the technical means has low equipment cost and has certain competitiveness.
2.2 Analysis of UAV Detection Technology
2.2.1 Comparison of detection technologies
The main detection technology principles described above are different, and there are also differences in technology maturity, detection effect, application scenarios, and cost. Table 1 provides a comprehensive analysis of the advantages and disadvantages of the main UAV detection technologies.
2.2.2 Application of detection technology
Radar detection and radio signal monitoring are the most widely used and mature detection methods on the market. The maturity of other detection methods (such as sound monitoring, etc.) needs to be improved.
From the perspective of technical characteristics, traditional single detection methods cannot completely independently deal with all situations, and cannot detect targets efficiently and accurately. The use of multi-method combined detection is the mainstream method at present, and some systems on the market have integrated different detection methods to improve detection capability. For example, the system uses radar as a detection method. When a suspected UAV target is detected, the system will call the optoelectronic equipment to further search and confirm, and at the same time integrate the information of the radar and the optoelectronic equipment, and the system can perform high-precision real-time positioning of the target. According to the analysis report on anti-UAV manufacturers by the UAV Research Center of Bard College in the United States , the report made a statistical analysis of the technical means used in 323 systems with UAV detection function (Figure 2). shown). The results show that the utilization rate of radar detection and radio monitoring technology is relatively high, the photoelectric identification and tracking technology is generally used as an auxiliary means of radar detection and radio signal monitoring, and the utilization rate of sound monitoring technology is not high due to its own limitations. When the two methods are used for comprehensive detection, the combination of radar detection and photoelectric identification and tracking is the mainstream application, and the combination of radar detection, radio monitoring, and photoelectric identification and tracking is also a more considered technical matching method.
|Detection Method||Work Distance||Advantage||disadvantage||Recommend|
|Radar detection||Max 10KM||Long target detection distance, active detection, high reliability, can track the target track, less affected by the weather,||Cannot detect hovering or slower targets， Affected by background clutter, false alarms are difficult to eliminate， Inability to distinguish drones and other foreign objects in the air.||Mid|
|radio signal detection||Max 6KM||Can identify the drone model, can detect and locate the drone operator, passive monitoring, good concealment,||Unable to detect drones with radio “silent”, Affected by the electromagnetic environment.||High|
|Photoelectric Identification Tracking||Max 5KM||High-precision tracking for precise guidance and anti, Image recognition of the target,||Need other means to guide, poor active searchability.||Low|
3.1 Key Technologies of drone jammer and anti drone
For drones that are in an illegal flying state, after being discovered through detection and identification technology, countermeasures are required to deal with the drones. At present, anti-UAV systems at home and abroad mainly use four methods to counteract.
3.1.1 Interference blocking class
At present, the most widely used anti-UAV system is the jamming blocking type UAV jamming equipment, that is, the use of electromagnetic waves, sound waves, etc., to interfere with the communication or hardware of the UAV, forcing the UAV to automatically return or land automatically. At present, there are mainly the following types of interference.
Electromagnetic interference can effectively block the communication between the UAV and the console station, cut off the remote control signal of the UAV and the digital and image transmission signals, so that the UAV enters a self-protection state after the signal is lost, so as to achieve the The purpose of man-machine forced landing or expulsion. Electromagnetic interference can be directional or omnidirectional interference as needed, which can effectively deal with multiple UAVs within the range of action, and has the ability to strike against “UAV swarms”.
·Navigation signal interference
Civil UAVs generally use satellite navigation and positioning systems to locate their own positions, and the interference blocking of UAVs can be achieved by implementing navigation signal interference. After the UAV loses its navigation signal, it cannot be accurately positioned, which affects the UAV’s flight control system and restricts the UAV’s flight. Due to the weak navigation signal, this interference method is easy to implement; however, this interference method will affect the navigation terminals of other devices within the range at the same time, so special attention should be paid when using it.
For all the 3 types of drone detection and jammer, we recommend radio signal detection, as the cost is low and the performance is good. we have one type of this product available, check the below ;