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Wind-Direction Estimation from Single X-Band Marine Radar Image Improvement by Utilizing the DWT and Azimuth-Scale Expansion Method.

Entropy (Basel, Switzerland)·2022

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Time Multiplexing Super Resolving Technique for Imaging from a Moving Platform

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Sea Clutter Suppression and Target Detection Algorithm of Marine Radar Image Sequence Based on Spatio-Temporal Domain

Baotian Wen¹, Yanbo Wei², Zhizhong Lu¹

¹College of Intelligent Systems Science and Engineering, Harbin Engineering University, No. 145 Nantong Street, Harbin 150001, China.

Entropy (Basel, Switzerland)

|February 25, 2022

Summary

This study introduces a novel spatio-temporal joint filtering algorithm to suppress sea clutter in marine radar images. The method significantly enhances target detection accuracy and improves signal-to-noise ratio (SNR) for clearer marine radar target detection.

Keywords:

marine radar radar image sequence sea clutter suppression spatio-temporal domain joint filtering target detection

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Area of Science:

Marine surveillance and radar signal processing.
Advanced algorithms for environmental interference mitigation.

Background:

Sea clutter in marine radar systems leads to significant detection errors, including missed alarms and false alarms.
Effective suppression of sea clutter is crucial for accurate marine radar target detection.

Purpose of the Study:

To propose and validate a novel sea clutter suppression and target detection algorithm for marine radar image sequences.
To enhance the accuracy and reliability of marine radar target detection by mitigating sea clutter interference.

Main Methods:

A spatio-temporal domain joint filtering approach is applied to marine radar image sequences.
The method involves transforming images to the 3D frequency-wavenumber domain using 3D-FFT, modeling sea clutter based on dispersion relations, and filtering the spectrum.
A 3D-IFFT is used to reconstruct the filtered image sequence for subsequent target detection.

Main Results:

The proposed algorithm demonstrates significant improvement in signal-to-noise ratio (SNR), with an increase of up to 15.3 dB compared to the Empirical Mode Decomposition (EMD) method.
Target detection rates are improved by at least 8% compared to direct detection on original images.
Validation using real X-band marine radar data confirms the algorithm's effectiveness.

Conclusions:

The proposed spatio-temporal domain joint filtering algorithm effectively suppresses sea clutter in marine radar images.
This method enhances target detection performance, offering a substantial improvement in SNR and detection rates.
The algorithm provides a robust solution for improving the accuracy of marine radar target detection systems.