Abstract
AbstractSea clutter is an unwanted return or echo signal which exhibits non-linearity and disarray and is random in nature. The reliable way of detecting the moving targets in the presence of clutter background has always been a setback in radar signal processing. The unwanted sea clutter greatly influences the target detection, which biases its characteristics and increases the difficulty of radar detection. With the development of advanced radar processing methods, the sea clutter can be suppressed considerably and targets can be detected reliably. In this paper, we report a review on current development in clutter suppression, clutter modeling based on the statistical modeling of sea clutter, which covers amplitude features of sea clutter, i.e., Rayleigh distribution, Log-Normal distribution, Weibull distribution, and K-distribution. The current developments in radar target identification methods are also conferred, within the framework of these clutter models. This review article provides a systematic comparison of various methods to suppress the clutter and to detect the target in a sea clutter environment.KeywordsSea clutterRadar signal processingClutter suppressionClutter modelingStatistical modeling
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