Multiband Passive ISAR Processing Based on Bayesian Compressive Sensing

Ran Zhang, Xia Bai, Juan Zhao

科研成果: 书/报告/会议事项章节会议稿件同行评审

4 引用 (Scopus)

摘要

In this paper, ISAR (Inverse Synthetic Aperture Radar) imaging for multiband passive bistatic radar (PBR) is investigated. To reach finer range resolution without the degradations of the image, we present a novel P-ISAR processing scheme based on Bayesian compressive sensing (CS) that considers the relationship between spectral structure of multichannel signals and measurement matrix. First, sparse representation of PBR signal in the range direction is given by analyzing cross correlation of echo. Then a novel recovery algorithm named as WBSBL (Weighted Block Sparse Bayesian Learning) is proposed and used to the passive ISAR processing scheme. Simulation results show the effectiveness of the proposed scheme which can guarantee the image quality.

源语言英语
主期刊名ICSIDP 2019 - IEEE International Conference on Signal, Information and Data Processing 2019
出版商Institute of Electrical and Electronics Engineers Inc.
ISBN(电子版)9781728123455
DOI
出版状态已出版 - 12月 2019
活动2019 IEEE International Conference on Signal, Information and Data Processing, ICSIDP 2019 - Chongqing, 中国
期限: 11 12月 201913 12月 2019

出版系列

姓名ICSIDP 2019 - IEEE International Conference on Signal, Information and Data Processing 2019

会议

会议2019 IEEE International Conference on Signal, Information and Data Processing, ICSIDP 2019
国家/地区中国
Chongqing
时期11/12/1913/12/19

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