Radar target extraction method based on edge detection

Abstract

The invention discloses a radar target extraction method based on edge detection. Radar data are processed in an image mode. The specific implementation processing flow is as follows: the processing flow is as follows; dynamically solving each triggered noise threshold according to the radar echo amplitude; filtering the original data by applying a noise threshold; and performing edge detection onthe filtered data by using a sobel operator, eliminating inaccuracy caused by edge thickness by using a non-maximum suppression part, solving a threshold value by using accumulated residual entropy for an eliminated gradient value, performing further filtering on the edge according to the threshold value, and performing envelope extraction on new edge data to realize radar target extraction. Themethod has the advantages that in a complex environment and under the condition of low radar resolution, the edges in multiple directions are solved from the perspective of envelope, and the edges areeffectively filtered, so that the accuracy of the target is improved, and meanwhile, the probability of target splitting is reduced.

Description

technical field [0001] The invention belongs to the field of radar data processing, in particular to a radar target extraction method based on edge detection. Background technique [0002] The intuitive understanding of target extraction is to extract the information belonging to the same target contour and contour, and estimate its parameters based on this information to form a position information that can well reflect the contour, so as to achieve the purpose of improving tracking. In the case of noise interference such as ocean waves, rain and snow, a target may generate multiple traces at different positions, that is, the phenomenon of target splitting occurs. The existing methods of using graphics to extract targets cannot flexibly utilize the changing characteristics and statistical characteristics of data in data preprocessing and threshold calculation, and cannot achieve self-adaptation and compatibility well. Contents of the invention [0003] The technical prob...

AI Technical Summary

Problems solved by technology

[0002] The intuitive understanding of target extraction is to extract the information belonging to the same target contour and contour, and estimate its parameters based on this information to form a position information that can well reflect the contour, so as to achieve the purpose of improving tracking. In the case of noise interference such as ocean waves, rain and snow, a target may generate multiple traces at different positions, that is, the phenomenon of target splitting occurs.

The existing methods of using graphics to extract targets cannot flexibly utilize the changing characteristics and statistical characteristics of data in data preprocessing and threshold calculation, and cannot achieve self-adaptation and compatibility well.

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