Spectrum monitoring system and method for airspace anti-black-flight unmanned aerial vehicle

Abstract

The invention disloss a spectrum monitoring system and method for an airspace anti-black-flight unmanned aerial vehicle. The spectrum monitoring system comprises an unmanned aerial vehicle platform, aremote control telemetry module, spectrum monitoring equipment and a processing display upper computer, and the airborne spectrum monitoring equipment is composed of a radio frequency module, a control processing module, a GPS module, a direct sequence spread spectrum communication module and the like. The method includes: guiding spectrum monitoring to a space domain; carrying frequency spectrummonitoring equipment on a legal flight unmanned aerial vehicle, patrolling in a monitoring area according to a certain track, searching for a black flight unmanned aerial vehicle as a task, and monitoring and identifying a frequency hopping signal of a remote measurement and remote control channel of the black flight unmanned aerial vehicle in an electromagnetic frequency spectrum domain by utilizing a frequency spectrum monitoring technology, thereby detecting the black flight unmanned aerial vehicle. The black fly signal extraction and recognition algorithm is good in extraction effect, high in recognition efficiency and small in calculated amount; and the direct sequence spread spectrum communication module has extremely low power spectrum density, so that the stable operation in a complex electromagnetic environment is ensured, and the monitoring of a remote control telemetry signal of the black flight unmanned aerial vehicle is not influenced.

Description

technical field [0001] The invention belongs to the field of radio signal spectrum monitoring, and in particular relates to a spectrum monitoring system and method of an airspace anti-black flying drone. Background technique [0002] In recent years, with the continuous miniaturization and low-altitude of drones, and the widening of application scenarios, incidents of illegally flying drones (commonly known as black flying drones) are common. These drones flying without permission It mainly caused the following hazards: endangering the flight safety of civil aviation and military aircraft; threatening the information security of military and important government departments; affecting the personal safety of major events and gatherings; leaking personal privacy of civilian residences and places, etc. [0003] In order to solve the problem of black-flying drones, it is important to improve laws and regulations at the legal level, and it is also important to study black-flying ...

AI Technical Summary

Problems solved by technology

Traditional spectrum monitoring equipment is generally located on the ground, such as ground monitoring vehicles and monitoring stations. The monitoring effect is easily affected by unfavorable factors such as obstacles, environmental restrictions, and multipath interference. The monitoring distance is short, greatly affected by the environment, and poor reliability; and The wireless spectrum of the monitored black flying UAV needs to be manually screened and judged, and the degree of automation is low

[0007] In addition, the remote control and telemetry channels of Heifei drones generally adopt frequency hopping or frequency hopping / direct spread technology. There are various standard signals such as Bluetooth, WiFi, ZigBee, etc., and the electromagnetic environment is complex, so the requirements for identifying the frequency spectrum of black flying drones are relatively high

[0008] To sum up, the current black-flying UAV monitoring technology is not perfect. When using traditional spectrum monitoring equipment for black-flying UAV monitoring, the monitoring distance is short, the environment is greatly affected, the reliability is poor, and the degree of automation is low.

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