This paper proposes to use Expectation-Maximization algorithm to estimate noise power in case of missing data combined with genetic algorithm to optimize weight vectors by maximizing the probability of detection. The simulation results demonstrate that the proposed method outperforms the traditional methods in the sense of the performance of energy detection based spectrum sensing for CRN. |