Floating Target Detection in Sea Clutter via Deshape Multiple Synchrosqueezing Transforms

Time-frequency analysis (TFA) method is an important technique to analyze the time-frequency (TF) joint distribution of non-stationary signals. How to improve the performance of TF concentration and anti-noise are the key research focuses of the TFA method. This paper proposes the de-shape Multiple synchrosqueezing transform (DeMSST) to further improve the TF performance. The main principle is to apply the Multiple synchrosqueezing transform (MSST) iteratively to deal with the result of the de-shape synchrosqueezing transform (de-shape SST) by operations. In numerical simulation, the DeMSST method can better address multi-component signals than other TFA methods, which demonstrates the performance of high concentration and strong anti-noise. In the application analysis, the proposed DeMSST method can obtain a more accurate frequency curve and a clearer TF distribution of the Ice Multiparameter Imaging X-Band (IPIX) radar echo signal. It can be used to distinguish floating targets and sea clutter accurately.