NDLI: Wideband Spectrum Sensing From Compressed Measurements Using Spectral Prior Information

Content Provider	IEEE Xplore Digital Library
Author	Romero, D. Leus, G.
Copyright Year	1991
Abstract	Wideband spectrum sensing (WSS) encompasses a collection of techniques intended to estimate or to decide over the occupancy parameters of a wide frequency band. However, broad bands require expensive acquisition systems, thus motivating the use of compressive schemes. In this context, previous works in compressive WSS have already realized that great compression rates can be achieved if only second-order statistics are of interest in spectrum sensing. In this paper, we go a step further by exploiting spectral prior information that is typically available in practice in order to reduce the sampling rate even more. The signal model assumes that the acquisition is done by means of an analog-to-information converter (A2I). The input signal is the linear combination of a number of signals whose second-order statistics are known and the goal is to estimate/decide over the coefficients of this combination. The problem is thus a particular instance of the well-known structured covariance estimation problem. Unfortunately, the algorithms used in this area are extremely complex for inexpensive spectrum sensors so that alternative techniques need to be devised. Exploiting the fact that the basis matrices are Toeplitz, we use the asymptotic theory of circulant matrices to propose a dimensionality reduction technique that simplifies existing structured covariance estimation algorithms, achieving a similar performance at a much lower computational cost.
Sponsorship	IEEE Signal Processing Society
Starting Page	6232
Ending Page	6246
Page Count	15
File Size	4033585
File Format	PDF
ISSN	1053587X
Volume Number	61
Issue Number	24
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2013-01-01
Publisher Place	U.S.A.
Access Restriction	One Nation One Subscription (ONOS)
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Sensors Estimation Signal processing algorithms Wideband Frequency measurement Noise wideband spectrum sensing Analog-to-information converters compressed sensing covariance matching
Content Type	Text
Resource Type	Article
Subject	Signal Processing Electrical and Electronic Engineering

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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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