@inproceedings{04e9f6ec8c8441e29ac84a72cf90a911,
title = "Multiband Passive ISAR Processing Based on Bayesian Compressive Sensing",
abstract = "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.",
keywords = "ISAR, Passive radar, compressive sensing, range profile, sparse Bayesian recovery",
author = "Ran Zhang and Xia Bai and Juan Zhao",
note = "Publisher Copyright: {\textcopyright} 2019 IEEE.; 2019 IEEE International Conference on Signal, Information and Data Processing, ICSIDP 2019 ; Conference date: 11-12-2019 Through 13-12-2019",
year = "2019",
month = dec,
doi = "10.1109/ICSIDP47821.2019.9173486",
language = "English",
series = "ICSIDP 2019 - IEEE International Conference on Signal, Information and Data Processing 2019",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
booktitle = "ICSIDP 2019 - IEEE International Conference on Signal, Information and Data Processing 2019",
address = "United States",
}