ISAR based on micro-doppler analysis and Chirplet parameter separation

When target or its parts exist micro-motion, ISAR is severely contaminated by the micro-Doppler effect caused by the micro-motion. To solve the problem, the micro-motion models of translation, rotation and vibration are analyzed, and then the time-frequency distribution of these micro-motions are discussed. After echoes are decomposed with Chirplet transformation, an algorithm, which separates signals using micro Doppler and micro Doppler rate in Chirplet parameter domain, is investigated. The algorithm is verified by simulation data of point-scatterer and real data of an airliner, nice ISAR images are obtained.