Detection and Imaging of Slowly Moving Target of Airborne SAR Based on the GMCWD-Hough Transform

摘要

In this paper, the features of airborne SAR moving target echoes are analysed, the Generalizedmarginal Choi-Williams Distribution-Hough transform (GMCWD-HT) is also introduced. According to the echo model of airborne SAR, a new method based on the Generalized-marginal Choi-Williams Distribution-Hough transform for detecting and imaging the slowly moving targets of airborne SAR is proposed in the paper. This method can be used to perform the slowly moving target detection and imaging of airborne SAR in the low signal to clutter ratio, its detecting performance is better than the common method based on Wigner-Ville distribution. Computer simulation results have proven the validity of the approach.