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

Select Volume / Issues:

• Volume 16, Issue 1, Jan. 2025

Year:

2025

Type of Publication:

Article

Keywords:

Wireless Communication; MIMO Hybrid Precoder Combiner; Multipath; Moving Abstacle; Neuron Network

Journal:

IJECCE

Volume:

16

Number:

1

Pages:

1-7

Month:

January

ISSN:

2249-071X