Object micro Doppler feature separation and extraction method based on edge detection

Abstract

The invention provides an object micro Doppler feature separation and extraction method based on edge detection. The method comprises that smooth pseudo Winger-Ville processing is carried out on echo signal to obtain a time-domain distribution matrix of the echo signals; a time-domain distribution map of the time-domain distribution matrix is seen as a grayscale image, the contrast of the grayscale image is improved, the edge of the grayscale image is sharpened, and edge detection is carried out on the processed image; separation and boundary extraction are carried out on object micro Doppler features, corresponding to two components, in an edge detection result on the basis an edge gradient inertial principle; and the gravity center of energy distribution within the boundary is calculated in the time-domain distribution matrix, transient frequency change rule curves of the two components are obtained, and the object micro Doppler features are resolved. The object micro Doppler features can be separated when the echo signals are two-component signals, and the method is simple in calculation and high in practicality, has low requirements for object prior information, and overcomes disadvantages of a present component extraction method.

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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