NDLI: Wideband spectrum sensing based on coprime sampling

Content Provider	IEEE Xplore Digital Library
Author	Shiyu Ren Zhimin Zeng Caili Guo Xuekang Sun
Copyright Year	2015
Description	Author affiliation: Beijing Key Lab. of Network Syst. Archit. & Convergence, Beijing Univ. of Posts & Telecommun., Beijing, China (Shiyu Ren; Zhimin Zeng; Caili Guo; Xuekang Sun)
Abstract	In wideband compressive spectrum sensing, when the number of occupied subbands in the monitored wideband increases, the existing compressive sensing approaches have to raise the sampling rate to maintain a desired sensing performance. What is worse, that will add computational complexity of the following signal reconstruction. To overcome this issue, this paper proposes a novel wideband spectrum sensing approach based on time-domain coprime sampling. Our approach first estimates the power spectrum of the wideband signal by employing the coprime sampling scheme, then performs detection via a subband-bin energy detector. The cornerstone of our approach is that we can generate a Nyquist space sampled autocorrelation from the sub-Nyquist samples by implementing the coprime sampling scheme. Demonstrated by the simulations, our proposed wideband sensing approach has a better performance under high compression ratio and a better robustness against noise compared with the orthogonal matching pursuit (OMP). Also it is illustrated that our approach has the advantage over computational complexity by analyzing. Considering the merits synthetically, the novel wideband sensing approach adapts better to a higher bandwidth by comparision.
Starting Page	348
Ending Page	352
File Size	175969
Page Count	5
File Format	PDF
ISBN	9781479980789
DOI	10.1109/ICT.2015.7124709
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2015-04-27
Publisher Place	Australia
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Correlation sparse sensing Noise Estimation coprime sampling Sensors autocorrelation estimation Computational complexity Time-domain analysis Wideband spectrum sensing Wideband channel detection
Content Type	Text
Resource Type	Article

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

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