Conventional range-Doppler (RD) inverse synthetic aperture radar (ISAR) imaging method utilizes coherent\nintegration of consecutive pulses to achieve high cross-range resolution. It requires the radar to keep track of the\ntarget during coherent processing intervals (CPI). This restricts the radar�s multi-target imaging ability, especially\nwhen the targets appear simultaneously in different observing scenes. To solve this problem, this paper proposes a\nmulti-target ISAR imaging method for phased-array radar (PAR) based on compressed sensing (CS). This method\nexplores and exploits the agility of PAR without changing its structure. Firstly, the transmitted pulses are allocated\nrandomly to different targets, and the ISAR image of each target can be then reconstructed from limited echoes\nusing CS algorithm. A pulse allocation scheme is proposed based on the analysis of the target�s size and rotation\nvelocity, which can guarantee that every target gets enough pulses for effective CS imaging. Self-adaptive\nmechanism is utilized to improve the robustness of the pulse allocation method. Simulation results are presented\nto demonstrate the validity and feasibility of the proposed approach.
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