The interrupted frequency modulated continuous wave (IFMCW) SAR is an economical and practical solution for the development of light-duty and miniature spaceborne synthetic aperture radar (SAR) systems due to its light weight, small size, low power consumption, and low data rate. However, data interruptions occur in the received azimuthal signals due to the alternation between the “transmit” and “receive” modes of IFMCW SAR, which lead to pseudo-peaks on both sides of the target in the imaging result. In this paper, a compression sensing-based azimuthal interrupted data reconstruction method for IFMCW SAR is proposed, employing stage-wise orthogonal matching pursuit (StOMP) and sparsity adaptive matching pursuit (SAMP) to azimuthal data reconstruction for the first time. The proposed method solves the problem of the existing algorithm, which requires sparsity as a priori knowledge. In addition, the method optimizes the SAMP structure, which improves the applicability of the algorithm on IFMCW SAR’s data reconstruction. The effectiveness of the proposed algorithms is verified by processing both simulated point target and ground truth echo data with unknown sparsity. Furthermore, the processing speed and reconstruction effect are compared with the original algorithm, revealing the good performance of the improved SAMP algorithm in sparse scenarios and the advantage of StOMP in complex scenarios.
ZHONG Shengyiliu
,
QIAO Ming
,
LIU Yunlong
,
ZHANG Tong
. Compression-sensing-based algorithm for the azimuth interrupted data reconstruction of spaceborne IFMCW SAR[J]. Journal of University of Chinese Academy of Sciences, 2025
, 42(3)
: 392
-402
.
DOI: 10.7523/j.ucas.2023.038
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