Random step frequency CSAR imaging based on compressive sensing

	Random step frequency CSAR imaging based on compressive sensing
	Yu, L.; Zhang, Y.
刊名	Progress In Electromagnetics Research C
	2012
卷号	32 页码:81-94
ISSN号	1937-8718
通讯作者	Yu, L. (yljsmile@163.com)
中文摘要	Circular synthetic aperture radar (CSAR) imaging based on compressive sensing with random step frequency (RSF) as transmitted signal is introduced. CSAR is capable of obtaining both two-dimensional high resolution image and three-dimensional image due to a circular collection trajectory. RSF signal shares good characteristics of noise signals including "thumbtack-shape" ambiguity function, low probability of interception, and strong anti-jamming capability. As a result, CSAR adopting RSF signal can make use of advantages of both CSAR and RSF signal. Compressive sensing is a new data acquisition and reconstruction theorem for sparse or compressible signals, which needs fewer samples to reconstruct signals than traditional Nyquist theorem. Simulation results show that both two-dimensional and three-dimensional targets can be well reconstructed from few samples by applying compressive sensing to RSF CSAR imaging.
英文摘要	Circular synthetic aperture radar (CSAR) imaging based on compressive sensing with random step frequency (RSF) as transmitted signal is introduced. CSAR is capable of obtaining both two-dimensional high resolution image and three-dimensional image due to a circular collection trajectory. RSF signal shares good characteristics of noise signals including "thumbtack-shape" ambiguity function, low probability of interception, and strong anti-jamming capability. As a result, CSAR adopting RSF signal can make use of advantages of both CSAR and RSF signal. Compressive sensing is a new data acquisition and reconstruction theorem for sparse or compressible signals, which needs fewer samples to reconstruct signals than traditional Nyquist theorem. Simulation results show that both two-dimensional and three-dimensional targets can be well reconstructed from few samples by applying compressive sensing to RSF CSAR imaging.
学科主题	微波遥感
收录类别	EI
语种	英语
公开日期	2014-12-15
内容类型	期刊论文
源URL	[http://ir.nssc.ac.cn/handle/122/3438]
专题	国家空间科学中心_微波遥感部
推荐引用方式 GB/T 7714	Yu, L.,Zhang, Y.. Random step frequency CSAR imaging based on compressive sensing[J]. Progress In Electromagnetics Research C,2012,32:81-94.
APA	Yu, L.,&Zhang, Y..(2012).Random step frequency CSAR imaging based on compressive sensing.Progress In Electromagnetics Research C,32,81-94.
MLA	Yu, L.,et al."Random step frequency CSAR imaging based on compressive sensing".Progress In Electromagnetics Research C 32(2012):81-94.