Improved Doppler centroid tracking for ISAR based on target extraction

Circular shifting and windowing have been introduced to improve the performance of Doppler centroid tracking (DCT) in inverse synthetic aperture radar (ISAR) image focusing when the target has prominent scattering centers. However, the conventional unified windowing method is hard to implement and affects the performance of DCT. An adaptive windowing method based on ISAR target extraction is proposed in this paper. The target is extracted via the thresholding method, with the threshold chosen adaptively according to the specific target characteristics. Also, image entropy is further applied to control the iteration process. Finally, experimental results are given to demonstrate the effectiveness of the propose method.