Higher Order Eigenvalue-Moment-Ratio based Blind Spectrum Sensing : Application to Cognitive Radio

This paper presents the application of higher order eigenvalue moment ratio based blind spectrum sensing to the cognitive radio. It starts with an investigation on recently proposed eigenvalue based blind spectrum sensing techniques, that work under sample starving environment. A modified version of eigenvalue moment ratio (EMR) spectrum sensing based on random matrix theory (RMT) is proposed. EMR technique is considered to provide superior performance in small sample environment, where the number of samples received by secondary is comparable to number of antennas. Previous works on EMR has been limited to second order moment, where as proposed technique is extended to fourth order moment. The asymptotic test statistic distribution of received signal is derived and an analytical expression for detection probability is presented. Results are validated using receiver operating characteristic curves and are compared with state-of-art techniques like AGM, SLE and EMR.