SVD-based signal detector for cognitive radio networks
This paper examines the implementation of the Singular Value Decomposition (SVD) method to detect the presence of wireless signal.The method is used to find the maximum and minimum eigenvalues.We simulated the algorithm using common digital signal in wireless communication namely rectangular pulse s...
| Main Authors: | , , , |
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| Format: | Conference or Workshop Item |
| Language: | English |
| Published: |
2011
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| Subjects: | |
| Online Access: | https://repo.uum.edu.my/id/eprint/12477/1/057.pdf |
| _version_ | 1825803015132545024 |
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| author | Omar, Mohd. Hasbullah Hassan, Suhaidi Amphawan, Angela Awang Nor, Shahrudin |
| author_facet | Omar, Mohd. Hasbullah Hassan, Suhaidi Amphawan, Angela Awang Nor, Shahrudin |
| author_sort | Omar, Mohd. Hasbullah |
| collection | UUM |
| description | This paper examines the implementation of the Singular Value Decomposition (SVD) method to detect the presence of wireless signal.The method is used to find the maximum and minimum eigenvalues.We simulated the algorithm using common digital signal in wireless communication namely rectangular pulse shape, raised cosine and root-raised cosine to test the performance of the signal detector.The SVD-based signal detector was found to be more efficient in sensing signal without knowing the properties of the transmitted signal.The execution time is acceptable compared to the favorable energy detection.The computational complexity of SVD-based detector is medium compared to the energy detector.The algorithm is suitable for blind spectrum sensing where the properties of the signal to be detected are unknown. This is also the advantage of the algorithm since any signal would interfere and subsequently affect the quality of service (QoS) of the IEEE 802.22 connection. Furthermore, the algorithm performed better in the low signal-to-noise ratio (SNR) environment. |
| first_indexed | 2024-07-04T05:50:01Z |
| format | Conference or Workshop Item |
| id | uum-12477 |
| institution | Universiti Utara Malaysia |
| language | English |
| last_indexed | 2024-07-04T05:50:01Z |
| publishDate | 2011 |
| record_format | eprints |
| spelling | uum-124772014-10-27T02:42:21Z https://repo.uum.edu.my/id/eprint/12477/ SVD-based signal detector for cognitive radio networks Omar, Mohd. Hasbullah Hassan, Suhaidi Amphawan, Angela Awang Nor, Shahrudin TK Electrical engineering. Electronics Nuclear engineering This paper examines the implementation of the Singular Value Decomposition (SVD) method to detect the presence of wireless signal.The method is used to find the maximum and minimum eigenvalues.We simulated the algorithm using common digital signal in wireless communication namely rectangular pulse shape, raised cosine and root-raised cosine to test the performance of the signal detector.The SVD-based signal detector was found to be more efficient in sensing signal without knowing the properties of the transmitted signal.The execution time is acceptable compared to the favorable energy detection.The computational complexity of SVD-based detector is medium compared to the energy detector.The algorithm is suitable for blind spectrum sensing where the properties of the signal to be detected are unknown. This is also the advantage of the algorithm since any signal would interfere and subsequently affect the quality of service (QoS) of the IEEE 802.22 connection. Furthermore, the algorithm performed better in the low signal-to-noise ratio (SNR) environment. 2011 Conference or Workshop Item PeerReviewed application/pdf en https://repo.uum.edu.my/id/eprint/12477/1/057.pdf Omar, Mohd. Hasbullah and Hassan, Suhaidi and Amphawan, Angela and Awang Nor, Shahrudin (2011) SVD-based signal detector for cognitive radio networks. In: 13th International Conference on Computer Modelling and Simulation (UKSim), March 30 2011-April 1 2011, Cambridge. http://dx.doi.org/10.1109/UKSIM.2011.104 doi:10.1109/UKSIM.2011.104 doi:10.1109/UKSIM.2011.104 |
| spellingShingle | TK Electrical engineering. Electronics Nuclear engineering Omar, Mohd. Hasbullah Hassan, Suhaidi Amphawan, Angela Awang Nor, Shahrudin SVD-based signal detector for cognitive radio networks |
| title | SVD-based signal detector for cognitive radio networks |
| title_full | SVD-based signal detector for cognitive radio networks |
| title_fullStr | SVD-based signal detector for cognitive radio networks |
| title_full_unstemmed | SVD-based signal detector for cognitive radio networks |
| title_short | SVD-based signal detector for cognitive radio networks |
| title_sort | svd based signal detector for cognitive radio networks |
| topic | TK Electrical engineering. Electronics Nuclear engineering |
| url | https://repo.uum.edu.my/id/eprint/12477/1/057.pdf |
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