Performance Analysis of Sequential Detection of Primary User Number Based on Multihypothesis Sequential Probability Ratio Test - 2018 PROJECT TITLE :Performance Analysis of Sequential Detection of Primary User Number Based on Multihypothesis Sequential Probability Ratio Test - 2018ABSTRACT: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. Did you like this research project? To get this research project Guidelines, Training and Code... Click Here facebook twitter google+ linkedin stumble pinterest Performance Analysis of a New Calibration Method for Fiber Nonlinearity Compensation - 2018 Power-Efficient Communication in UAV-Aided Wireless Sensor Networks - 2018
