EM-Based Joint Estimation and Detection for Multiple Antenna Cognitive Radios

Provided by: McGill University
Topic: Mobility
Format: PDF
In this paper, the authors present an iterative spectrum sensing scheme for multiantenna assisted Cognitive Radio (CR) using the Expectation-Maximization (EM) algorithm. Considering a wideband frequency spectrum, the Secondary User (SU) performs an EM-based Joint Estimation and Detection (JED), where the channel coefficients and noise variance are estimated jointly with the Primary User (PU) signal variance. They also provide a semi-analytical evaluation of the proposed scheme using the Neyman-Pearson criterion. Compared with the conventional Generalized Likelihood Ratio Detector (GLRD), the EM-based JED scheme enhances the detection process of the multiple antenna CR with few iterations and modest complexity.

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