Abstract:

In order to improve the detection performance of the traditional spectrum sensing algorithm, a double threshold (DT) spectrum sensing algorithm is proposed. Since using the double threshold and the eigenvalue of the covariance matrix of the received signals, the proposed method exhibits a good performance and robustness against noise uncertainty without having to know any information of the primary signal. Compared with the maximumminimum eigenvalue (MME) algorithm, the performance of DT is superior to MME since double threshold is used to detect the primary signal. Simulation results show that the proposed method provides a substantial improvement compared with the MME algorithm.