Sea surface micromotion target detection based on Radon-fractional ambiguity function

The micro-Doppler (m-D) signature of a sea surface target is employed for detection and modeled as a quadratic frequency modulated (QFM) signal. Furthermore, a novel long-time coherent integration method, i.e., Radon-fractional ambiguity function (RFRAF), is proposed to detect the m-D signal, which can compensate the range and Doppler migrations simultaneously. The m-D signal can be well matched and accumulated in the RFRAF domain by the long-time instantaneous autocorrelation function (LIACF) and the transform angle. Experiments with real radar dataset indicate that the RFRAF can achieve better integration and detection performance of a sea surface target with micromotion in case of high sea state.