EOF-based unmanned aerial vehicle signal identification system and method

Abstract

According to an EOF-based unmanned aerial vehicle signal identification system and method provided by the invention, the problem that similar unmanned aerial vehicle signals are difficult to identifyis solved, the identification effect of unmanned aerial vehicles with similar signals can be effectively improved, and better support is provided for unmanned aerial vehicle identification managementand control. The method provided by the invention comprises the following steps: 1) firstly, carrying out preliminary identification on a received unmanned aerial vehicle signal through a characteristic parameter matching method; 2) carrying out FFT (Fast Fourier Transform) processing on the unmanned aerial vehicle signal which cannot be recognized through characteristic parameter matching, and then generating a corresponding time-frequency analysis graph; 3) adopting an empirical orthogonal function analysis method to decompose a video analysis matrix corresponding to the video analysis graphinto an EOF matrix reflecting signal common characteristics and a characteristic coefficient matrix reflecting signal difference characteristics; and 4) performing feature data extraction and BP neural network training on the feature coefficient matrix, constructing a corresponding unmanned aerial vehicle type classifier, and outputting an identification result.

Description

technical field [0001] The present invention relates to the field of UAV identification, in particular to an EOF-based UAV signal identification system and method. The EOF refers to the Empirical Orthogonal Function analysis method (Empirical Orthogonal Function), abbreviated as EOF. Background technique [0002] At present, the world is entering the era of drones. Whether in military, political, commercial, agricultural, leisure and other fields, the application of drones is growing explosively. Some experts even predict that as the price of drones gradually decreases, "everyone owns" will become possible. With the rapid development and popularization of UAVs, its potential safety hazards are also gradually emerging—UAVs are used at will by users who have no professional training, to satisfy personal interests, and have no common sense and no awareness of flight laws and regulations, and are even used by Lawbreakers use it in illegal activities and intelligence theft, posi...

AI Technical Summary

Problems solved by technology

[0006] According to the problems existing in the prior art, the present invention proposes an EOF-based UAV signal recognition system and method to solve the problem that similar UAV signals are difficult to recognize, and can effectively improve the recognition effect of UAVs with similar signals. UAV identification control provides better support

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