Abstract:

Echoes produced by rotating parts, such as propellers of helicopters, seriously worsen inverse synthesizer aperture radar (ISAR)imaging quality. An algorithm based on optimized initial adaptive Gaussian chirplet decomposition (OI-AGCD) is proposed. Firstly, the ISAR imaging model which involves the target with rotating parts, based on stepped frequency radar, is established. The different performances between the main body and the rotating parts are analized.Secondly, based on range-Doppler imaging theroy and the different projection properties of main body and roating parts on Gaussian bases, the algorithm of cleaning rotating parts’ radar echoes based on AGCD is proposed. Finally, simulation results show the effectiveness of the algorithm to eliminate echoes produced by rotating parts and high quality images can be achieved.