Eigenvalue-based signal detectors performance comparison

The purpose of this paper is to compare the performance of eigenvalue-based signal detectors designed for IEEE 802.22Wireless Regional Area Network (WRAN). Two eigenvalue techniques were studied, which are the eigenvalue decomposition (EVD) and singular value decomposition (SVD). Both techniques wer...

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Bibliographic Details
Main Authors: Omar, M. H., Hassan, S., Nor, S. A.
Format: Conference Proceeding
Language:English
Subjects:
Cognitive radio
Covariance matrix
Detectors
Eigenvalues and eigenfunctions
performance evaluation
signal detection
Signal to noise ratio
singular value decomposition(SVD)
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Summary:The purpose of this paper is to compare the performance of eigenvalue-based signal detectors designed for IEEE 802.22Wireless Regional Area Network (WRAN). Two eigenvalue techniques were studied, which are the eigenvalue decomposition (EVD) and singular value decomposition (SVD). Both techniques were implemented on Matlab as detection algorithms. Using Monte Carlo simulations, we tested the algorithms to compare their performance. We also adopted the maximum-minimum eigenvalue threshold method as the decision statistic for detecting signals. The tests were done for their ability to detect signal, receiver operating characteristics, expected performance, robustness and computational complexity. Empirically, the performance of SVD technique found to be better compared to the EVD technique.
ISSN:2163-0771
DOI:10.1109/APCC.2011.6477853