Eigenvalue-based signal detectors performance comparison
The purpose of this paper is to compare the performance of eigenvalue-based signal detectors designed for IEEE 802.22 Wireless 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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my.uum.repo.124782014-10-27T02:44:13Z http://repo.uum.edu.my/12478/ Eigenvalue-based signal detectors performance comparison Omar, Mohd Hasbullah Hassan, Suhaidi Awang Nor, Shahrudin TK Electrical engineering. Electronics Nuclear engineering The purpose of this paper is to compare the performance of eigenvalue-based signal detectors designed for IEEE 802.22 Wireless 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. 2011 Conference or Workshop Item PeerReviewed application/pdf en http://repo.uum.edu.my/12478/1/064.pdf Omar, Mohd Hasbullah and Hassan, Suhaidi and Awang Nor, Shahrudin (2011) Eigenvalue-based signal detectors performance comparison. In: 17th Asia-Pacific Conference on Communications (APCC), 2-5 Oct. 2011, Sabah. http://dx.doi.org/10.1109/APCC.2011.6477853 doi:10.1109/APCC.2011.6477853 |
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TK Electrical engineering. Electronics Nuclear engineering Omar, Mohd Hasbullah Hassan, Suhaidi Awang Nor, Shahrudin Eigenvalue-based signal detectors performance comparison |
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The purpose of this paper is to compare the performance of eigenvalue-based signal detectors designed for IEEE 802.22 Wireless 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. |
format |
Conference or Workshop Item |
author |
Omar, Mohd Hasbullah Hassan, Suhaidi Awang Nor, Shahrudin |
author_facet |
Omar, Mohd Hasbullah Hassan, Suhaidi Awang Nor, Shahrudin |
author_sort |
Omar, Mohd Hasbullah |
title |
Eigenvalue-based signal detectors performance comparison |
title_short |
Eigenvalue-based signal detectors performance comparison |
title_full |
Eigenvalue-based signal detectors performance comparison |
title_fullStr |
Eigenvalue-based signal detectors performance comparison |
title_full_unstemmed |
Eigenvalue-based signal detectors performance comparison |
title_sort |
eigenvalue-based signal detectors performance comparison |
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2011 |
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http://repo.uum.edu.my/12478/1/064.pdf http://repo.uum.edu.my/12478/ http://dx.doi.org/10.1109/APCC.2011.6477853 |
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1644280923700592640 |
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13.149126 |