NSSC OpenIR  > 微波遥感部
A NOVEL SPARSE STEPPED CHAOTIC SIGNAL AND ITS COMPRESSION BASED ON COMPRESSIVE SENSING
Yang, Jiefang1,2; Zhang, Yunhua1; 北京8701信箱
Department国家863计划微波遥感技术
Source PublicationPROGRESS IN ELECTROMAGNETICS RESEARCH-PIER
2013
Volume137Pages:335-357
ISSN1070-4698
Language英语
AbstractWe propose a novel signal model by combining the sparse stepped frequency signals with chaotic signals, i.e. the sparse stepped chaotic signal (SSCS) model, as well as the corresponding compression algorithm based on compressed sensing. In SSCS, the chaotic signals are modulated to sparse stepped frequencies to compose a transmitting burst. When receiving, the echo signals are demodulated to the baseband and then can be sampled directly at a rate much lower than the Nyquist rate determined by the bandwidth of chaotic signal of each subpulse. Compared with radars using conventional stepped frequency waveforms, the SSCS radar can transmit fewer subpulses in a burst and directly use lower speed ADC next to the receiver. Both simulated and real radar data are processed to demonstrate the effectiveness of the proposed SSCS as well as the compression algorithm by which high resolution range profiles are very well reconstructed.; We propose a novel signal model by combining the sparse stepped frequency signals with chaotic signals, i.e., the sparse stepped chaotic signal (SSCS) model, as well as the corresponding compression algorithm based on compressed sensing. In SSCS, the chaotic signals are modulated to sparse stepped frequencies to compose a transmitting burst. When receiving, the echo signals are demodulated to the baseband and then can be sampled directly at a rate much lower than the Nyquist rate determined by the bandwidth of chaotic signal of each subpulse. Compared with radars using conventional stepped frequency waveforms, the SSCS radar can transmit fewer subpulses in a burst and directly use lower speed ADC next to the receiver. Both simulated and real radar data are processed to demonstrate the effectiveness of the proposed SSCS as well as the compression algorithm by which high resolution range profiles are very well reconstructed.
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/122/2059
Collection微波遥感部
Corresponding Author北京8701信箱
Affiliation1.Chinese Acad Sci, Key Lab Microwave Remote Sensing, Beijing 100190, Peoples R China
2.Univ Chinese Acad Sci, Beijing 100049, Peoples R China
Recommended Citation
GB/T 7714
Yang, Jiefang,Zhang, Yunhua,北京8701信箱. A NOVEL SPARSE STEPPED CHAOTIC SIGNAL AND ITS COMPRESSION BASED ON COMPRESSIVE SENSING[J]. PROGRESS IN ELECTROMAGNETICS RESEARCH-PIER,2013,137:335-357.
APA Yang, Jiefang,Zhang, Yunhua,&北京8701信箱.(2013).A NOVEL SPARSE STEPPED CHAOTIC SIGNAL AND ITS COMPRESSION BASED ON COMPRESSIVE SENSING.PROGRESS IN ELECTROMAGNETICS RESEARCH-PIER,137,335-357.
MLA Yang, Jiefang,et al."A NOVEL SPARSE STEPPED CHAOTIC SIGNAL AND ITS COMPRESSION BASED ON COMPRESSIVE SENSING".PROGRESS IN ELECTROMAGNETICS RESEARCH-PIER 137(2013):335-357.
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