摘要
We present a sparsity-driven algorithm of inverse synthetic aperture radar (ISAR) imaging. Based on the parametric sparse representation of the received ISAR signal, the problem of ISAR image formation is converted into the joint estimation of the target rotation rate and the sparse power distribution in the spatial domain. This goal is achieved by parametric L 0-norm minimization, which ensures the sparsest ISAR image.
| 源语言 | 英语 |
|---|---|
| 主期刊名 | 2012 IEEE Radar Conference |
| 主期刊副标题 | Ubiquitous Radar, RADARCON 2012 - Conference Program |
| 页 | 421-424 |
| 页数 | 4 |
| DOI | |
| 出版状态 | 已出版 - 2012 |
| 已对外发布 | 是 |
| 活动 | 2012 IEEE Radar Conference: Ubiquitous Radar, RADARCON 2012 - Atlanta, GA, 美国 期限: 7 5月 2012 → 11 5月 2012 |
出版系列
| 姓名 | IEEE National Radar Conference - Proceedings |
|---|---|
| ISSN（印刷版） | 1097-5659 |
会议
| 会议 | 2012 IEEE Radar Conference: Ubiquitous Radar, RADARCON 2012 |
|---|---|
| 国家/地区 | 美国 |
| 市 | Atlanta, GA |
| 时期 | 7/05/12 → 11/05/12 |
指纹
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Li, G., Wang, X., & Xia, X. G. (2012). ISAR imaging using parametric L 0-norm minimization. 在 2012 IEEE Radar Conference: Ubiquitous Radar, RADARCON 2012 - Conference Program (页码 421-424). 文章 6212177 (IEEE National Radar Conference - Proceedings). https://doi.org/10.1109/RADAR.2012.6212177