Abstract:Spectrum sensing is an important problem in cognitive radio. Outliers present in the channel deteriorate the performance of existing non-robust algorithms. We consider the problem of limiting the influence of outliers in cooperative spectrum sensing techniques. In this work we use Huber's least favorable pair based on mixture model with appropriate nominal distributions in the DualCUSUM algorithm, a sequential change point detection algorithm used for spectrum sensing. We show that proposed robust DualCUSUM al… Show more
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