Estimating Angles of Arrival in Multipath Model using Neural Networks in the Presence of Obstacle Motion
Hoai Trung Tran
Recently, there has been interest in using beamforming that is particularly guided along physical path in order to achieve the best gain. Nevertheless, there hasn't been much focus on determining the physical path arrival angles as the obstacle moves. In order to determine these angles with the highest gain, this article use a neural network to find the real channel matrix, then be combined the Singular Value Decomposition (SVD) to find optimum receiving beam’s angles. This novel approach has a larger capacity than conventional approaches when tracking the angles of obstacle motion