Range-ambiguity suppression for SAR using joint sparse recovery

ABSTRACT

Dealing with range ambiguity is a hot issue in SAR signal processing. One limitation of current algorithms is their poor robustness to noise and the energy of ambiguous targets, which can lead to performance degradation in complex environments. This letter proposes a new algorithm for range ambiguity suppression in SAR. The algorithm utilizes the orthogonality of the transmitted signal to separate the echo signals of the main region and the ambiguous area, and subsequently applies the alternating direction method of multipliers (ADMM) algorithm to perform joint sparse recovery on both areas. Experimental results show that the proposed method can effectively suppress range ambiguity, and it has a good ability to maintain the weak targets and the details of the main region’s image.

KEYWORDS:

• Range ambiguity suppression
• SAR imaging
• ADMM
• sparse recovery

Disclosure statement

No potential conflict of interest was reported by the author(s).

Additional information

Funding

This work is supported by the National Natural Science Foundation of China under [Grant 62001229, 62101260 and 62101264], the Nature Science Foundation of Jiangsu Province under [Grant BK20210334], the China Postdoctoral Science Foundation under [Grant 2020M681604], and the Jiangsu Province Postdoctoral Science Foundation under [Grant 2020Z441].