A Binary Orthogonal Matching Pursuit Algorithm for 1-bit SAR Imaging

DOI number:10.1109/LGRS.2025.3585698

Affiliation of Author(s):中国科学技术大学信息学院

Teaching and Research Group:电子工程与信息科学系

Journal:IEEE Geoscience and Remote Sensing Letters

Key Words:1-bit quantization, compressive sensing (CS), orthogonal matching pursuit (OMP), synthetic aperture radar (SAR) imaging.

Abstract:In the last decade, one-bit synthetic aperture radar (SAR) imaging has been proposed, which uses one-bit quantized echo data for scene reconstruction, offering substantial reductions in system hardware costs. However, many existing one-bit SAR imaging algorithms suffer from excessive clutter and artifacts in the imaging results, particularly under low signal-to-noise ratio (SNR) conditions, resulting in unsatisfactory reconstruction results. In this letter, based on the orthogonal matching pursuit (OMP) algorithm, we propose the optimization model of binary orthogonal matching pursuit (BOMP) algorithm, which facilitates sign consistent reconstruction for one-bit imaging. The proposed algorithm employs a secondary atom selection strategy to enhance the accuracy of atom selection and introduces a noise variable into the optimization model to improve robustness against noise and mitigate artifacts. Finally, both simulation and actual SAR data processing demonstrate that the proposed algorithm achieves excellent one-bit radar imaging performance at low SNRs while also exhibiting rapid computational speed.

First Author:Jiaqian Wang (王佳倩)

Co-author:Ruirui Wu

Indexed by:Journal paper

Correspondence Author:Falin Liu

Document Code:10.1109/LGRS.2025.3585698

Discipline:Engineering

Document Type:J

Volume:22

Issue:4010505

Page Number:1-5

Translation or Not:no

Date of Publication:2025-07-03