DOI码：10.1109/LGRS.2025.3585698

所属单位：中国科学技术大学信息学院

教研室：电子工程与信息科学系

发表刊物：IEEE Geoscience and Remote Sensing Letters

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

摘要：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.

第一作者：Jiaqian Wang (王佳倩)

合写作者：Ruirui Wu

论文类型：期刊论文

通讯作者：Falin Liu

论文编号：10.1109/LGRS.2025.3585698

学科门类：工学

文献类型：J

卷号：22

期号：4010505

页面范围：1-5

是否译文：否

发表时间：2025-07-03