Abstract
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.
Original language | English |
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Title of host publication | 2012 IEEE Radar Conference |
Subtitle of host publication | Ubiquitous Radar, RADARCON 2012 - Conference Program |
Pages | 421-424 |
Number of pages | 4 |
DOIs | |
Publication status | Published - 2012 |
Externally published | Yes |
Event | 2012 IEEE Radar Conference: Ubiquitous Radar, RADARCON 2012 - Atlanta, GA, United States Duration: 7 May 2012 → 11 May 2012 |
Publication series
Name | IEEE National Radar Conference - Proceedings |
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ISSN (Print) | 1097-5659 |
Conference
Conference | 2012 IEEE Radar Conference: Ubiquitous Radar, RADARCON 2012 |
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Country/Territory | United States |
City | Atlanta, GA |
Period | 7/05/12 → 11/05/12 |
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Li, G., Wang, X., & Xia, X. G. (2012). ISAR imaging using parametric L 0-norm minimization. In 2012 IEEE Radar Conference: Ubiquitous Radar, RADARCON 2012 - Conference Program (pp. 421-424). Article 6212177 (IEEE National Radar Conference - Proceedings). https://doi.org/10.1109/RADAR.2012.6212177