A Compressive Sensing-based Technique for ISAR Imaging
In the process of the traditional method for ISAR imaging, the produced data is extremely huge, so storage and transmission are both big problems. This paper successfully solves the problems by using compressive sensing theory. After the complete motion compensation to the radar echoes, the method of compressive sensing will be used to dispose the range cells before the imaging. It can reduce the required data quantity and satisfy the demand of the imaging quality. This characteristic is helpful to overcome the mainly disadvantage of traditional methods. At the latter part of this paper, the results of the measured data of Yak-42 airplane manifest that the method can markedly reduce the amount of data in the case of the decent imaging.
Compressive Sensing Inverse Synthetic Aperture Radar reconstruction
Ping Cheng Haitian Liu Zhongkai Zhao
College of Information and Communication Engineering, Harbin Engineering University Harbin, 150001, China
国际会议
2012 5th Global Symposium on Millimeter-Waves(2012年第五届全球毫米波会议 GSMM 2012)
哈尔滨
英文
466-469
2012-05-27（万方平台首次上网日期，不代表论文的发表时间）