Sequential detection of number of primary users in cognitive radio networks

In cognitive radio networks, a priori information on the number of primary users (PUs) is helpful to estimate more specific parameters of PUs´ signal, such as the carrier frequency, direction of arrival, and location. We propose a sequential canonical correlation technique (S-CCT) method to estimate the number of active PUs quickly and accurately. In the proposed method, classical canonical correlation technique (CCT) is improved using multi-hypothesis sequential probability ratio test. Simulation results show that our proposed S-CCT method can achieve better performance with fewer samples than CCT.