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Property Investigation on the Additive White Gaussian Noise After Sub-Nyquist Sampling
Gong TR(宫铁瑞)1,2,3,4; Liu ZF(刘志峰)1,2,3; Xie C(谢闯)1,2,3; Yang ZJ(杨志家)1,2,3
Department工业控制网络与系统研究室
Source PublicationIEEE ACCESS
ISSN2169-3536
2019
Volume7Pages:122820-122826
Indexed BySCI ; EI
EI Accession number20200408089580
WOS IDWOS:000487831900006
Contribution Rank1
Funding OrganizationNational Key Research and Development Program of China [2017YFA0700304]
KeywordNoise property noise folding factor sub-Nyquist sampling
Abstract

The sub-Nyquist sampling (SNS) has emerged as an appealing technique for wideband signal sampling and has found its applications in many areas, such as, cognitive radios, radar and medical imaging, etc.. However, existing SNS based approaches generally assume that the output noise of SNS (termed as SNS noise) is generated as the additive white Gaussian noise without considering the SNS effect. To give more insights on the noise after SNS, we propose a generalized modulated converter to represent existing prevalent SNS systems and give an analysis on statistics of the SNS noise in terms of the proposed SNS system. The noise folding factor and the uncorrelated and white keeping properties are derived and concluded from the derived statistics, in which the former is used to show the noise enhancement by SNS and the latter describes the SNS noise uncorrelation and equal power intensity in different frequencies, respectively. In the final, simulation results validate the derived results and conclusions.

Language英语
WOS SubjectComputer Science, Information Systems ; Engineering, Electrical & Electronic ; Telecommunications
WOS KeywordANALOG-TO-INFORMATION
WOS Research AreaComputer Science ; Engineering ; Telecommunications
Funding ProjectNational Key Research and Development Program of China[2017YFA0700304]
Citation statistics
Document Type期刊论文
Identifierhttp://ir.sia.cn/handle/173321/25662
Collection工业控制网络与系统研究室
Corresponding AuthorYang ZJ(杨志家)
Affiliation1.Key Laboratory of Networked Control Systems, Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang 110016, China
2. State Key Laboratory of Robotics, Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang 110016, China
3. Institutes for Robotics and Intelligent Manufacturing, Chinese Academy of Sciences, Shenyang 110169, China
4. University of Chinese Academy of Sciences, Beijing 100049, China
Recommended Citation
GB/T 7714
Gong TR,Liu ZF,Xie C,et al. Property Investigation on the Additive White Gaussian Noise After Sub-Nyquist Sampling[J]. IEEE ACCESS,2019,7:122820-122826.
APA Gong TR,Liu ZF,Xie C,&Yang ZJ.(2019).Property Investigation on the Additive White Gaussian Noise After Sub-Nyquist Sampling.IEEE ACCESS,7,122820-122826.
MLA Gong TR,et al."Property Investigation on the Additive White Gaussian Noise After Sub-Nyquist Sampling".IEEE ACCESS 7(2019):122820-122826.
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