Sea-Surface Weak Target Detection Method Based on SPWVD-STFT

To further improve the capability of time-frequency domain features to detect weak targets on the sea-surface,a smoothed pseudo Wigner-Ville distribution(SPWVD)-short-time Fourier transform (STFT) sea-surface weak target detection algorithm is proposed. Firstly, STFT is adopted to perform time-frequency features analysis on the echo signals,and to optimize the time-frequency features analysis results of SPWVD. The K-medoids clustering algorithm is introduced to denoise the time-frequency matrix. Then,the time-frequency features Doppler frequency stability(DFS)is extracted,and the fast convex hull learning algorithm is utilized to obtain the false alarm controllable judgment region,so as to determine the sea clutter and the target. Finally,results of experiments based on Ice multiparameter imaging X-Band radar (IPIX)measured data show that the detection probability of the proposed detection algorithm is 6. 3% higher than that of the time-frequency tri-feature detector at the same false alarm rate. © 2024 Northeast University. All rights reserved.