Spectrum Sensing Algorithm Based on Estimated Covariance Matrix MME Detection

Aiming at the problem that the MME detection algorithm has a poor detection performance while sampling data length is small, a spectrum sensing algorithm based on estimated covariance matrix MME was proposed. Covariance matrix estimation of sampling data was made using the oracle-approximating shrinkage estimator, then taking the ratio of MME of estimated covariance matrix as the detection statistic, obtaining the detection threshold through the computer simulation. The results show that the proposed algorithm has better detection performance compared with MME algorithm.