Inverse synthetic aperture radar imaging of manoeuvring target based on range-instantaneous- doppler and range-instantaneous-chirp-rate algorithms

For inverse synthetic aperture radar (ISAR) imaging of manoeuvring target, the received signal in a range bin is very complicated, which will degrade the azimuth focusing quality greatly. In this study, the author characterises the received signal as multi-component cubic phase signal, and a new approach of parameters estimation for the cubic phase signal is presented. Combined with the range-instantaneous-Doppler and range-instantaneous-chirp-rate algorithms, the high-quality instantaneous ISAR images can be obtained. The results of simulated and real data demonstrate the validity of the new method proposed.