High-Resolution ISAR Imaging for Maneuvering Targets Based on Iterative Adaptive Processing
Penghui Huang, Muyang Zhan, Zhiwei Yang, Xingzhao Liu, Guisheng Liao, Zhiling Liu, Wentao Du
Abstract
Inverse synthetic aperture radar (ISAR) imaging for maneuvering targets undergoing significant angular motions in a high-resolution radar system is a complicated task due to the presence of time-varying Doppler phases, resulting in the substantial performance degradation by using the conventional range-Doppler (RD) algorithm. In this paper, a novel range instantaneous Doppler (RID) technique based on high-resolution time-frequency distribution (TFD) is proposed to realize the ISAR imaging for maneuvering targets with complex phase fluctuation. After motion compensation, the target signal in a range unit is transformed into high-resolution time-frequency domain by means of the short-time iterative adaptive approach (STIAA), which can avoid the troubled cross-term interference and effectively break through the time-frequency resolution restriction in comparison with the conventional short-time Fourier transform (STFT). Finally, the reconstruction of high-resolution ISAR image for a maneuvering target can be obtained in the RID domain. The effectiveness of the proposed ISAR imaging algorithm is validated by both simulated and real-measured SAR/ISAR data processing results.