Likelihood-Ratio-Based Cooperative Spectrum Sensing for Autocorrelation-Assisted Detection of OFDM Signals in Cognitive Radio

In this correspondence a likelihood ratio test for performing cooperative autocorrelation-based spectrum sensing of orthogonal frequency-division multiplexing (OFDM)-basedprimary networks is proposed. The OFDM signal sensing strategy is based on the method introduced in the recent paper [1]. Inorder to be able to test hypotheses at the fusion center, the distribution of the proposed test statistic is derived. Simulation results show a significant improvement in detection performance compared to the conventional methods.

Keywords:

Cognitive radio , cooperative spectrum sensing , orthogonal frequency-division multiplexing , data fusion , autocorrelation-based , likelihood ratio test