On compressed sensing applied to 2-D SAR imaging

Peng Xiao, Ze Yu, Chunsheng Li, Yan Wang

科研成果: 书/报告/会议事项章节会议稿件同行评审

1 引用 (Scopus)

摘要

Modern Synthetic Aperture Radar (SAR) systems operate with high bandwidths to achieve high resolution. But huge amount of data caused by high resolution and large swath can easily exceed the storage capacity and the transmittal bandwidth. Compressive Sensing (CS) techniques offer a framework for the detection and allocation of sparse signal with a reduced number of measurements. Under the framework of Compressive Sensing, sampling rate is not related to the effective bandwidth of signal, but determined by the content and structure of the interested information. Combining CS with SAR can settle the restraint relationship between the data quantity and resolution. Even better, for CS algorithm is a signal estimation method, CS-SAR may solve some problems which are brought by match filter method, such as sidelobe suppression, azimuth ambiguity elimination and super-resolution imaging.

源语言英语
主期刊名Conference Proceedings of 2013 Asia-Pacific Conference on Synthetic Aperture Radar, APSAR 2013
388-391
页数4
出版状态已出版 - 2013
已对外发布
活动2013 4th Asia-Pacific Conference on Synthetic Aperture Radar, APSAR 2013 - Tsukuba, 日本
期限: 23 9月 201327 9月 2013

出版系列

姓名Conference Proceedings of 2013 Asia-Pacific Conference on Synthetic Aperture Radar, APSAR 2013

会议

会议2013 4th Asia-Pacific Conference on Synthetic Aperture Radar, APSAR 2013
国家/地区日本
Tsukuba
时期23/09/1327/09/13

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