Chen, Yanping and Gao, Yulong (2018) Dual-feature spectrum sensing exploiting eigenvalue and eigenvector of the sampled covariance matrix. EAI Endorsed Transactions on Cognitive Communications, 3 (13): e1. ISSN 2313-4534
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eai.11-5-2018.154702.pdf - Published Version Available under License Creative Commons Attribution No Derivatives. Download (1MB) | Preview |
Abstract
The signal can be charactered by both eigenvalues and eigenvectors of covariance matrix. However, the existing detection methods only exploit the eigenvalue or eigenvector. In this paper, we utilize the both eigenvalues and eigenvectors of the sampled covariance matrix to perform spectrum sensing for improving the detection performance. The features of eigenvalues and eigenvectors are considered integrated and the relationship between the false-alarm probability and the decision threshold is offered. To testify this method, some simulations are carried out. The results demonstrate that the method shows some advantages in the detection performance over the conventional method only adapting eigenvalues or eigenvectors.
| Item Type: | Article |
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| Uncontrolled Keywords: | dual-feature, spectrum sensing, cognitive radio,eigenvalue and eigenvector |
| Subjects: | Q Science > QA Mathematics > QA75 Electronic computers. Computer science QA75 Electronic computers. Computer science |
| Depositing User: | EAI Editor II. |
| Date Deposited: | 10 Sep 2020 14:12 |
| Last Modified: | 10 Sep 2020 14:12 |
| URI: | https://eprints.eudl.eu/id/eprint/208 |
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