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Random step frequency CSAR imaging based on compressive sensing
Yu, L.; Zhang, Y.; Yu, L. (yljsmile@163.com)
Department微波遥感部
Source PublicationProgress In Electromagnetics Research C
2012
Volume32Pages:81-94
ISSN1937-8718
Language英语
AbstractCircular 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.; 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.
Indexed ByEI
Funding Project中国科学院空间科学与应用研究中心
Document Type期刊论文
Identifierhttp://ir.nssc.ac.cn/handle/122/3438
Collection微波遥感部
Corresponding AuthorYu, L. (yljsmile@163.com)
Recommended Citation
GB/T 7714
Yu, L.,Zhang, Y.,Yu, L. . Random step frequency CSAR imaging based on compressive sensing[J]. Progress In Electromagnetics Research C,2012,32:81-94.
APA Yu, L.,Zhang, Y.,&Yu, L. .(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.
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