Experimental Results of Spaceborne Stripmap SAR Raw Data Imaging via Compressed Sensing

摘要：

Compressed sensing (CS) is a new theory that enables sampling below the Nyquist rate, while the quality of reconstruction is guaranteed. This theory is applied to sparse circumstance. Based on this theory, this paper proposes a feasible method for the spaceborne stripmap synthetic aperture radar (SAR) raw data imaging. The technique presented is introduced as an alternative option to the traditional matched filtering. An experiment with SAR raw data is also described. Its purpose is to show that CS can be applied to spaceborne stripmap SAR raw data.

关键词： Synthetic Aperture Radar (SAR) Compressed Sensing Raw Data.

作者: Hai Jiang ChengLong Jiang BingChen Zhang Wen Hong YiRong Wu

作者单位: National Key Laboratory of Science and Technology on Microwave Imaging, Beijing 100190, China Instit National Key Laboratory of Science and Technology on Microwave Imaging, Beijing 100190, China Instit

会议类型: 国际会议

会议名称: 2011 IEEE CIE International Conference on Radar(2011年IEEE国际雷达会议RADAR 2011)

会议地点: 成都

会议语种:英文

页码: 202-205

在线出版日期: 2011-10-24（万方平台首次上网日期，不代表论文的发表时间）