Unmanned aerial vehicle positioning system and method based on radio frequency array signal DOA estimation

Abstract

The invention discloses an unmanned aerial vehicle positioning system and method based on radio frequency array signal DOA estimation. The system comprises two groups of the same antenna receiving assemblies, an interface device and a control computer, wherein the antenna receiving assemblies are arranged at different positions, and each group of the antenna receiving assemblies comprises an L-shaped antenna array, a receiving device and a processing device; the L-shaped antenna array comprises two antenna linear arrays which are vertically arranged, and eight antennas are uniformly distributed and arranged in parallel; the interface device receives and sends the control signals to the two processing devices, the internal signal processing algorithm is circularly executed, the signal of the unmanned aerial vehicle is judged, and if the signal of the unmanned aerial vehicle exists, the pitch angle and the azimuth angle at which the calculated signal arrives are processed and sent to theprocessing devices. According to the system, the signal-to-noise ratio is improved, the defect that the MUSIC algorithm is not accurately positioned when the signal-to-noise ratio is lower is overcome, the system can be protected when an anti-control device emits a larger power signal, and the loopholes of supervision and protection can be effectively improved.

Description

technical field [0001] The invention belongs to the field of unmanned aerial vehicle positioning, and relates to an unmanned aerial vehicle positioning system and method based on radio frequency array signal DOA estimation. Background technique [0002] In recent years, commercial giants at home and abroad have continuously entered the field of drones, which has promoted the rapid development of the unmanned aerial vehicle (UAV) industry, and the application of drones has become increasingly widespread. However, there are many problems behind its popularity, and the risks brought by the blowout development of drones are also increasing. In recent years, people have begun to pay attention to the importance of drone supervision, and are eager to seek effective technical means to detect, locate and accurately drive away illegally intruding drones. [0003] The current positioning methods used for drones are mainly based on radar, audio, and radio frequency. Illegal flight act...

AI Technical Summary

Problems solved by technology

The cost of using radar equipment is high, the required transmission power is large, and there are blind spots when using radar to identify drones at close range; using sound to locate drones is short due to the large sound propagation attenuation

In view of the fact that UAVs use wireless signals to communicate and wireless signals carry rich information, the existing technology lacks the use of radio frequency signal positioning to locate UAVs.

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