An Efficient Translational Motion Compensation Approach for ISAR Imaging of Rapidly Spinning Targets

For inverse synthetic aperture radar (ISAR) imaging of rapidly spinning targets, the large migration through range cells (MTRC) results in weak coherence between adjacent echoes, which makes conventional envelope alignment method unable to be applied. By analyzing correlation a translational motion compensation (TMC) for targets is proposed. Firstly, rotation period target estimated by incoherent accumulation echo signal after compression. Secondly, Kalman filtering performed on shift values required maximize coefficient echoes with one difference azimuth time obtain relative and target. Finally, function constructed according compensate phase items caused motion. Furthermore, covariance matrix observation noise also provided. This used achieve high-precision alignment, effectiveness proposed validated simulations.