Abstract
ABSTRACT Cognitive Radio (CR) has been identified as a promising technology for recycling underutilized frequency bands. Proper detection of frequency voids a.k.a. spectrum sensing is the fundamental necessity to accomplish the objective. In this article, spectrum sensing for a multi-antenna based CR receiver has been considered. Initially, the performance of a Generalized Likelihood Receiver (GLR) has been demonstrated in conventional approach. Here a test statistic is formulated for binary hypothesis testing and respective false alarm and detection probabilities are calculated. Later, the same analysis has been carried out by alternative Kullback-Leibler (KL) distance function. It is shown that the proposed alternative method provides better detection probability for the same false alarm probability especially to identify weak primary signals. Numerical results are provided in support of the proposition.
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