| Reference : Eigenvalue Based Sensing and SNR Estimation for Cognitive Radio in Presence of Noise ... |
| Scientific journals : Article | |||
| Engineering, computing & technology : Electrical & electronics engineering | |||
| http://hdl.handle.net/10993/3166 | |||
| Eigenvalue Based Sensing and SNR Estimation for Cognitive Radio in Presence of Noise Correlation | |
| English | |
Sharma, Shree Krishna  [University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > >] | |
| Chatzinotas, Symeon [University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > >] | |
| Ottersten, Björn [University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > >] | |
| Oct-2013 | |
| IEEE Transactions on Vehicular Technology | |
| IEEE | |
| 62 | |
| 8 | |
| 3671 - 3684 | |
| Yes | |
| International | |
| 0018-9545 | |
| [en] Spectrum Sensing ; SNR Estimation ; Noise Correlation ; Random Matrix Theory | |
| [en] Herein, we present a detailed analysis of an eigenvalue
based sensing technique in the presence of correlated noise in the context of a Cognitive Radio (CR). We use a Standard Condition Number (SCN) based decision statistic based on asymptotic Random Matrix Theory (RMT) for decision process. Firstly, the effect of noise correlation on eigenvalue based Spectrum Sensing (SS) is studied analytically under both the noise only and the signal plus noise hypotheses. Secondly, new bounds for the SCN are proposed for achieving improved sensing in correlated noise scenarios. Thirdly, the performance of Fractional Sampling (FS) based SS is studied and a method for determining the operating point for the FS rate in terms of sensing performance and complexity is suggested. Finally, a Signal to Noise Ratio (SNR) estimation technique based on the maximum eigenvalue of the received signal’s covariance matrix is proposed. It is shown that proposed SCN-based threshold improves sensing performance in correlated noise scenarios and SNRs up to 0 dB can be reliably estimated with less than 1 % normalized Mean Square Error (MSE) in the presence of correlated noise without the knowledge of noise variance. | |
| Researchers ; Professionals ; Students | |
| http://hdl.handle.net/10993/3166 | |
| 10.1109/TVT.2013.2260834 |
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