NDLI: Statistical Tests for Signal Detection Using Random Matrix Theory

Content Provider	IEEE Xplore Digital Library
Author	Ujjinimatad, R. Patil, S.R.
Copyright Year	2012
Abstract	Signal detection is a fundamental problem in cognitive radio. Energy detection is optimal for detecting independent and identically distributed (iid) signals, but not optimal for detecting the correlated signals. This paper introduces a unified framework for the signal detection where the noise variance and the channel between the source and sensor are unknown at the receiver. The statistical tests are proposed based on the sample covariance matrix calculated from the received signal samples. Using the recent results from random matrix theory, a practical way to evaluate the threshold for the tests is provided. Statistical tests do not need any information of the signal, the channel and noise power as a priori. The Performance of the statistical tests are compared with energy detection (ED) algorithm and covariance absolute value (CAV) method through simulation analysis. Simulations based on voice recorded signals are presented to verify the proposed statistical tests.
Starting Page	1
Ending Page	4
File Size	301009
Page Count	4
File Format	PDF
ISBN	9781612846842
ISSN	21619654
e-ISBN	9781612846835
DOI	10.1109/WiCOM.2012.6478686
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2012-09-21
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Probability Eigenvalues and eigenfunctions Covariance matrix Sensors Cognitive radio Signal to noise ratio
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
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in