A Target Micro-Doppler Feature Separation and Extraction Method Based on Edge Detection

Abstract

The present invention provides a target micro-Doppler feature separation and extraction method based on edge detection, which includes smoothing pseudo-Winger-Ville processing of the echo signal to obtain the time-frequency distribution matrix of the echo signal; The frequency distribution map is regarded as a grayscale image for contrast enhancement and edge sharpening processing, and edge detection is performed on the processed image; in the edge detection results, the target micro-Doppler features corresponding to the two components are based on the edge slope inertia principle. Separation and boundary extraction; calculate the center of gravity of the energy distribution within the boundary range in the time-frequency distribution matrix, obtain the instantaneous frequency variation curve of the two components, and calculate the target micro-Doppler characteristic parameters from this. The invention realizes the separation of target micro-Doppler characteristics when the echo signal is a two-component signal. The invention is simple in calculation, has low requirements on target prior information, has good practicability, and overcomes the shortcomings of existing component extraction algorithms.

Description

technical field [0001] The invention relates to the technical field of target micro-Doppler feature detection, in particular to a target micro-Doppler feature separation and extraction method based on edge detection. Background technique [0002] At the beginning of the 21st century, Professor V.C. Chen of the U.S. Naval Research Laboratory first proposed the concept of micro-Doppler effect. Professor V.C.Chen pointed out that while the radial motion of the target as a whole and the radar produces the Doppler effect, the target itself or some components also have small movements such as vibrations and rotations that are relatively small in magnitude relative to the overall translation, which will affect the radar feedback. The wave signal produces additional frequency modulation, resulting in a broadening phenomenon centered on the Doppler frequency in the spectrum. This phenomenon is called the micro-Doppler effect. [0003] The micro-Doppler effect is considered to be th...

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Problems solved by technology

[0005] The purpose of the present invention is to provide a target micro-Doppler feature separation and extraction method based on edge detection, using the principle of edge detection on the time-frequency distribution map of the echo signal, to solve the problem of complete loss of edge information in overlapping images, and to realize echo detection. Separation and parameter extraction of micro-Doppler features of target in the case of wave signal as two-component signal

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