Adaptive Target Extraction Method in Sea Clutter Based on Fractional Fourier Filtering

Target detection in sea clutter is of great significance in military radar research. Because the characteristics of sea clutter are complex and easily affected by wind direction, the method of suppressing sea clutter by using sea clutter characteristics to reproduce is not advantageous. To address this problem, this article focuses on the direct extraction of the target echo. According to the difference in fractional characteristics between the target echo and sea clutter, fractional Fourier transform (FRFT) is introduced to extract the target echo. In this article, a fractional domain change coefficient clustering method is established to identify the range units of the target, and a fractional domain filtering method based on the minimax is proposed to extract the target spectrum of target-dominated range units, so as to separate the target echo from sea clutter. Simulated and measured experiments prove that this method can accurately identify targets and extract target information under various sea states and a different number of targets.