ISAR Imaging and Micro-Doppler Signature Extraction for Target with Rotating Parts Based on Multiple Measurement Vectors

In this paper, an ISAR imaging algorithm based on signal separation is proposed for the target with rotating parts. Specifically, the echoes of the target subject and the rotating parts are separated by the sparse reconstruction method. Profited from the Doppler difference between the target subject signal and the rotating parts signal, establish the MMV model of the target subject signal in azimuth and the target subject ISAR image can be obtained after signal reconstruction. Meanwhile, the ISAR imaging and micro-Doppler signature extraction for rotating parts can be completed by inverse Radon transform. Simulations are given to validate the effectiveness of the proposed algorithm.