Author:
khattak muhammad yasin,akhtar pervez -
Abstract
Purpose
The aim of this investigation is to make the Bessel beamformer fully automatic when it is combined with Root MUSIC (MUltiple SIgnal Classification) and is based on the array processing in the application of beamforming and Direction of Arrival (DOA) algorithm for source position. The concept is analyzed for modified Bessel beamformer with Root MUSIC to form a non-blind array processing technique which is then used to focus a beam towards a desired user and place nulls towards interferers for capacity improvement.
Design/methodology/approach
The idea is manipulated for modified Bessel beamformer with Root MUSIC relies on MATLAB software with the goal to obtain high efficiency in terms of signal recovery, directive gain by minimizing MSE and place nulls towards interferers.
Findings
The finding of the analysis is presented in adaptive environment and provided in the tables. The paper shows that the presented method leads to superior results and can be used as a better alternative in many practical applications to avoid operator involvement.
Research limitations/implications
The adaptive processes described in the paper are still limited to simulation due to non availability of real system for testing.
Practical implications
The paper can be extended to a next level by implementing the proposed algorithms in the real time environment using FPGA technology.
Originality/value
This is our original work that can offer scientific contribution to signal processing community and may provide better results as an automatic beamformer.
Subject
Applied Mathematics,Electrical and Electronic Engineering,Computational Theory and Mathematics,Computer Science Applications
Cited by
1 articles.
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1. Enhanced beamforming techniques for cylindrical-substrate microstrip array antennas;COMPEL - The international journal for computation and mathematics in electrical and electronic engineering;2022-01-24