Spectrum Sensing Based on Combined Eigenvalue and Eigenvector through Blind Learning

Authors

Chen Guo, Ningbo University
Ming Jin, Ningbo UniversityFollow
Qinghua Guo, University of WollongongFollow
Youming Li, Ningbo University

RIS ID

128234

Publication Details

C. Guo, M. Jin, Q. Guo & Y. Li, "Spectrum Sensing Based on Combined Eigenvalue and Eigenvector through Blind Learning," IEEE Communications Letters, vol. 22, (8) pp. 1636-1639, 2018.

Abstract

This work focuses on exploiting both eigenvalues and eigenvectors for spectrum sensing in cognitive radio. First, we design a blind learning algorithm for obtaining the prior knowledge of the maximum eigenvalue of noises and the leading eigenvector of primary signals by using historical sensing data. Then, we propose a new detector for spectrum sensing by exploiting both the maximum eigenvalue and the leading eigenvector. A theoretical expression for the decision threshold of the proposed detector is derived. Numerical results are provided to validate the theoretical analysis and demonstrate the superior performance of the proposed detector.

Grant Number

ARC/DE120101266