ISAR imaging for three-dimensional rotation targets based on adaptive Chirplet decomposition

摘要

In this paper, a new algorithm of inverse synthetic aperture radar (ISAR) imaging for three-dimensional (3-D) rotation targets is presented. The characteristic of the received signal when the target has 3-D rotation is studied, and it is approximated as multi-component amplitude modulated and frequency modulated (AM-FM) signal. Then a new algorithm for the adaptive Chirplet decomposition is presented to analyze the AM-FM signal, and the high quality instantaneous ISAR images are obtained based on the Range-Instantaneous-Doppler (RED) algorithm. The results of simulated and real data demonstrate the effectiveness of the method proposed.