A radar sea clutter suppression method based on fractal characteristics

Through the radar sea clutter suppression method based on fractal characteristics, the wavelet processing method is used to analyze and suppress sea clutter signals, and the problem of insufficient detection performance of slow small targets under high sea conditions is solved, and effective recovery of weak target echo signals and sea clutter suppression are achieved.

CN113917432BActive Publication Date: 2025-03-25THE 724TH RESEARCH INSTITUTE OF CHINA STATE SHIPBUILDING CORP LTD
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Patent Information

Application Number
CN202111158141.2
Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
Filing Date
2021-09-30
Publication Date
2025-03-25
Estimated Expiration
2041-09-30

AI Technical Summary

Technical Problem

Under high sea conditions, traditional dynamic target display and dynamic target detection methods cannot effectively suppress sea clutter when the target echo and clutter are similar to the radar motion speed, resulting in a significant weakening of the detection performance of slow small targets.

Method used

The radar sea clutter suppression method based on fractal characteristics is adopted, and the signal is analyzed at different scales through wavelet processing means, the original signal self-similarity characteristics is iteratively estimated, and the clutter self-similarity is suppressed, thereby achieving effective recovery of weak target echo signals.

Benefits of technology

It effectively suppresses sea clutter and noise, and improves weak target detection performance under high sea conditions, especially when the target object is slow to overlap with the clutter on the Doppler channel.

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Abstract

Aiming at the problem that it is difficult to effectively detect slow small targets in sea clutter, the present invention proposes a radar sea clutter suppression method based on fractal characteristics. First, the wavelet coefficients of the received signal at different scales are calculated and the parameters to be estimated are initialized; then, E processing and M processing are iteratively performed; finally, the signal reconstruction method is used to calculate the radar received signal after suppressing sea clutter and noise. The present invention can improve the visibility of slow small targets in clutter.
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