PROJECT TITLE :
Performance Analysis of Sequential Detection of Primary User Number Based on Multihypothesis Sequential Probability Ratio Test - 2018
In cognitive radio networks, a priori data on the quantity of primary users (PUs) is useful to estimate a lot of specific parameters, like carrier frequency, direction of arrival, and placement. We tend to propose a sequential canonical correlation technique (S-CCT) method to estimate the quantity of active PUs quickly and accurately. The proposed technique is predicated on the classical CCT and multi-hypothesis sequential chance ratio test. We tend to also deduce the asymptotic expressions of average sample range and detection probability. Simulation results show that our proposed S-CCT method can achieve better performance with fewer samples than the CCT.
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