Improvement in Spectrum Sensing using Eigen value based sensing technique for Digital Primary Signals in Cognitive Radio using MIMO
| Author(s) | : | Vaishali M. Nandotriya, Zalak Dobariya |
| Institution | : | Electronics & Communication Department, Silver Oak College of Engineering & Research |
| Published In | : | Vol. 3, Issue 6 — June 2016 |
| Page No. | : | 305-319 |
| Domain | : | Engineering |
| Type | : | Research Paper |
| ISSN (Online) | : | 2348-4470 |
| ISSN (Print) | : | 2348-6406 |
Cognitive radio has emerged as one of the most promising candidate solutions to improve spectrumutilization in next generation cellular networks. The main problem is the interference between the primary signal andsecondary signal. We need a technique to deal with the problem of spectrum underutilization, which makes the birth ofcognitive radio. Energy detection can be used for spectrum sensing in cognitive radios when no prior knowledge aboutthe primary signals is available. And also observing that when probability of false alarm decreased with the time ofprobability of detection increased. We propose new sensing methods based on the eigenvalues of the covariance matrixof signals received at the secondary users. In particular, two sensing algorithms are suggested, one is based on the ratio ofthe maximum eigenvalue to minimum eigenvalue; the other is based on the ratio of the average eigenvalue to minimumeigenvalue. We decrease the Probability of False alarm and increase Probability of Detection with 2*2 antenna.
Vaishali M. Nandotriya, Zalak Dobariya, “Improvement in Spectrum Sensing using Eigen value based sensing technique for Digital Primary Signals in Cognitive Radio using MIMO”, International Journal of Advance Engineering and Research Development (IJAERD), Vol. 3, Issue 6, pp. 305-319, June 2016.
