ISAR imaging of maneuvering targets via matching pursuit

Abstract

An algorithm based on matching pursuit (MP) technique is proposed for inverse synthetic aperture radar (ISAR) imaging of maneuvering targets. The received ISAR echo is decomposed into many basis sub-signals that are generated by discretizing the target spatial domain and synthesizing the ISAR data for every discretized spatial position, and then the ISAR imaging problem is converted into the sub-signal selection problem. The basis sub-signals that indeed contribute to the ISAR echo are selected by using the MP technique, and the projection coefficients of the ISAR echo on the selected basis sub-signals represent the ISAR image. In the case of unknown rotation rate of the target, the true rotation rate is obtained by combining the MP technique with the maximum contrast search. Numerical examples show that the proposed algorithm can produce high resolution and remove sidelobe artifacts.