Unmanned aerial vehicle identification method and system based on real-time signal feature analysis

Abstract

The invention discloses an unmanned aerial vehicle identification method and system based on real-time signal feature analysis. The method comprises the steps of S10, preprocessing received original signals, thereby obtaining time continuous real-time signals; S20, carrying out signal feature parameter extraction, carrying out classification and identification and determining signal parameters; and S30, carrying out analysis and statistics on sorting results, thereby judging whether unmanned aerial vehicles exist in the current signals or not. The S20 comprises the process of carrying out noise base judgment on the received real-time signals, calculating initiation and termination frequencies, central frequencies and occupied bandwidths of the signals according to a noise threshold; addingtime labels to the signals; and acquiring frequency hopping signal features according to features comprising time, frequencies and bandwidths of the signals at each frequency point. According to themethod and the system, the signal analysis is carried out based on continuous time signals, through deep analysis of the signal features, relatively much information can be mined, and the intercept probability of unmanned aerial vehicle signals can be effectively improved.

Description

technical field [0001] The invention relates to the technical field of radio detection, in particular to a UAV identification method and system based on real-time signal feature analysis. Background technique [0002] Due to the rapid development of the drone industry, regulators urgently need a technology that can effectively detect drones. Due to the increasingly complex external electromagnetic signals and the continuous development of UAV remote control and data transmission technology, it is becoming more and more difficult for radio regulatory agencies to monitor the UAV signal spectrum. Due to the large time analysis gap, the traditional spectrum monitoring mode of collection cannot satisfy the detection of UAV signals that have widely adopted the frequency hopping system, and the probability of interception is low. [0003] The invention patent with the application number CN201510481020.X discloses a UAV signal processing device and signal processing method, wherein...

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Problems solved by technology

[0005] The purpose of the present invention is to overcome the deficiencies of the prior art, provide a UAV identification method and system based on real-time signal feature analysis, solve the problem that the radio monitoring in the prior art cannot obtain continuous real-time signals in time, and then realize the acquisition Technical Effects of Higher Accuracy Frequency Hopping Signal Characteristics

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