Abstract
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.
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