Translational Motion Compensation for ISAR Imaging Based on Range Joint Fast Orthogonal Matching Pursuit Algorithm

Accurate translational motion compensation (TMC) is the key procedure of inverse synthetic aperture radar (ISAR) imaging. Under condition sparse aperture, correlation adjacent pulses severely destroyed, which brings a few challenges to TMC and Thus, this paper proposes novel method for ISAR In technique, signal model joint phase adjustment imaging established first. Then, process designed. That is, after range alignment with improved global minimum entropy (IGME), fast orthogonal matching pursuit (RJFOMP) algorithm applied imaging, (MEM) adopted estimate error. Meanwhile, optimization realized through cyclic iteration. Extensive experiments based on both simulated measured data demonstrate that proposed effective two modes errors, are named as coherent mode (CM) non-coherent (NCM), respectively. When RJFOMP used it has excellent performance under noisy conditions.