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An EOF-based UAV signal recognition system and method

A signal recognition and UAV technology, applied in the field of UAV recognition, can solve the problem of difficult recognition of similar UAV signals, achieve good support, improve recognition effect, and improve the effect of recognition effect

Active Publication Date: 2020-09-22
湖南坤雷科技有限公司
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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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  • An EOF-based UAV signal recognition system and method
  • An EOF-based UAV signal recognition system and method
  • An EOF-based UAV signal recognition system and method

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Embodiment Construction

[0043] Embodiments of the present invention will be described in further detail below in conjunction with the accompanying drawings.

[0044] Aiming at the problem that similar UAV signals are difficult to recognize, the invention proposes an EOF-based UAV signal recognition method. The specific principle of EOF is described below.

[0045] Empirical Orthogonal Function (EOF) is an analysis method that separates the contributions of different physical processes and mechanisms to variable fields through the analysis of observed data. The basic idea of ​​the EOF method is that a large amount of related data must always have a common factor that dominates it. Under the condition of not losing or losing as little information as possible in the original data, the original data is simplified to extract the characteristic information of the original data. Using the EOF method, we can identify the main mutually orthogonal spatial distribution patterns from the data set of the variabl...

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Abstract

An EOF-based UAV signal recognition system and method proposed by the present invention solves the problem that similar UAV signals are difficult to recognize, can effectively improve the recognition effect of UAVs with similar signals, and provide more information for UAV identification and control. good support. The method of the present invention comprises the following steps: 1) at first carry out preliminary identification to the unmanned aerial vehicle signal that receives by the method for characteristic parameter matching; Corresponding time-frequency analysis diagram; 3) Using the empirical orthogonal function analysis method, the video analysis matrix corresponding to the video analysis diagram is decomposed into an EOF matrix reflecting the common characteristics of the signal and a characteristic coefficient matrix reflecting the signal difference characteristics; 4) The characteristic coefficient The matrix performs feature data extraction and BP neural network training, constructs the corresponding UAV type classifier, and outputs the recognition results.

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...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06K9/00G06N3/04G06N3/08G06K9/62
CPCG06N3/08G06N3/044G06N3/045G06F2218/08G06F2218/12G06F18/253
Inventor 刘海涛袁继兵程翥
Owner 湖南坤雷科技有限公司