Estimation of Channel Parameters Based on Time Diversity of Random Process

Abstract

The topic of this paper is to enhance communication performance It is depends on the use of key parameters to adapt to various radio transmission environments Today most of the channels from the transmitter to the receiver are violently searched for the best solution to simulate in order to get the importance of the need The parameters are the Doppler frequency the Rician factor (K factor) and the angle of arrival (AoA) This paper focuses on the development with low-complexity implementation of the correlation characteristics of the received signal in the Rician fading channel and the correlation characteristics of the transmitter Compared with the traditional algorithm the proposed algorithm in this paper is based on the time diversity and Taylor Series and the Polynomial Regression The receiver only uses the channel characteristics and the algorithm we designed to get an estimated value In terms of performance comparison we use Cram?r-Rao lower Bound (CRLB) to analyze the estimated root mean square error (RMSE) If the estimate is closer to CRLB the estimator is better than the traditional design

Date of Award	2019
Original language	English
Supervisor	Wen-Long Chin (Supervisor)