High-Resolution Compressive Sensing Imaging with Stepped-Frequency Noise Signal

	High-Resolution Compressive Sensing Imaging with Stepped-Frequency Noise Signal
	Zhang, Yunhua; Dong, Xiao; Gu, Xiang; Zhai, Wenshuai
	2012
会议名称	13th International Radar Symposium (IRS)
会议日期	MAY 23-25, 2012
会议地点	Warsaw, POLAND
关键词	radar imaging noise signal logistic mapping compresive sensing
页码	170-173
通讯作者	Zhang, YH (reprint author), Chinese Acad Sci, Ctr Space Sci & Appl Res, Key Lab Microwave Remote Sensing, Beijing 100190, Peoples R China.
中文摘要	High-resolution compressive sensing imaging with stepped-frequency noise signal (SFNS) is presented. The SFNS is similar to the stepped - frequency chirp signal (SFCS), which is also composed of a burst of subpulses with their carrier frequencies linearly increased or decreased, but each subpulse is a noise signal instead of a chirp signal. The noise signal of each subpulse is realized by Logistic mapping, i.e. it is a kind of chaotic signal or random like signal. Range compression for SFNS can be as same as that for SFCS when matched filtering (MF) is used. However when the compressive sensing (CS) approach is used, they are quite different. As for SFCS random sampling is performed to echoes of the subchirps while evenly sampling is performed for SFNS. Real data from a moving train is processed to demonstrate the effectiveness of both the signal model and the CS imaging algorithm.
英文摘要	High-resolution compressive sensing imaging with stepped-frequency noise signal (SFNS) is presented. The SFNS is similar to the stepped - frequency chirp signal (SFCS), which is also composed of a burst of subpulses with their carrier frequencies linearly increased or decreased, but each subpulse is a noise signal instead of a chirp signal. The noise signal of each subpulse is realized by Logistic mapping, i.e. it is a kind of chaotic signal or random like signal. Range compression for SFNS can be as same as that for SFCS when matched filtering (MF) is used. However when the compressive sensing (CS) approach is used, they are quite different. As for SFCS random sampling is performed to echoes of the subchirps while evenly sampling is performed for SFNS. Real data from a moving train is processed to demonstrate the effectiveness of both the signal model and the CS imaging algorithm.
收录类别	EI ; CPCI
会议主办者	MTT S, APS, Polish Acad Sci, Electron Devices Soc, Deutsch Gesell Ortung & Nav, IEEE Reg 8, AESS, Hamburg Univ Technol, IEEE, Signal Proc Soc, Poland Chapter, IEEE, Warsaw Univ Technol, Mil Univ Technol, IEEE Poland Sect, EuMA
会议录	2012 13TH INTERNATIONAL RADAR SYMPOSIUM (IRS)
会议录出版者	IEEE
会议录出版地	NEW YORK
学科主题	微波遥感
语种	英语
ISSN号	2155-5745
ISBN号	978-1-4577-1835-9
内容类型	会议论文
源URL	[http://ir.nssc.ac.cn/handle/122/3395]
专题	国家空间科学中心_微波遥感部
推荐引用方式 GB/T 7714	Zhang, Yunhua,Dong, Xiao,Gu, Xiang,et al. High-Resolution Compressive Sensing Imaging with Stepped-Frequency Noise Signal[C]. 见:13th International Radar Symposium (IRS). Warsaw, POLAND. MAY 23-25, 2012.