Sparse aperture inverse synthetic aperture radar imaging of manoeuvring targets with compensation of migration through range cells

作者：Huang, Da-rong^*; Zhang, Lei; Xing, Meng-Dao; Xu, Gang; Duan, Jia; Bao, Zheng

来源：IET Radar Sonar and Navigation, 2014, 8(9): 1164-1176.

DOI：10.1049/iet-rsn.2013.0402

• synthetic aperture radar
• radar imaging
• image reconstruction
• Doppler shift
• motion compensation
• iterative methods
• time-frequency analysis
• sparse aperture inverse synthetic aperture radar imaging
• target manoeuvring
• inverse synthetic aperture radar imaging method
• migration through range cell compensation
• time-varying Doppler
• echoed signal
• small rotational angle assumption
• ISAR imaging method
• MTRC compensation
• sparse chirp-Fourier basis
• first-order range-azimuth coupling term

In inverse synthetic aperture radar (ISAR) imaging of a target with significant manoeuvres, severe migration through range cells (MTRCs) and time-varying Doppler usually involve in the echoed signal. Both of them may challenge the conventional motion compensation and imaging methods, which are usually based on the assumption of small rotational angle with short coherent time duration. Moreover, for a multi-functional ISAR, full aperture (FA) data collection might be unachievable because of the conflict with other radar activities, resulting in sparse aperture (SA) data. In this study, an ISAR imaging method of manoeuvring targets with SA data is proposed, where MTRC compensation and time-varying Doppler are well accounted. By using a sparse chirp-Fourier basis with first-order range-azimuth coupling term, an improved orthogonal match pursuit algorithm is implemented to solve the sparsity-driven optimisation for FA data reconstruction from SA-ISAR measurements. As a primary item, MTRC compensation is seamlessly embedded into the FA signal reconstruction for ISAR imaging of manoeuvring targets. Both simulated and real data are utilised to confirm the effectiveness of the proposed method.

• 出版日期2014-12
• 单位西安电子科技大学