Null Steering Optimization Based MVDR Beamformer Using Hybrid PSOGSA Approach for Antenna Array System

Null Steering Optimization Based MVDR Beamformer Using Hybrid PSOGSA Approach for Antenna Array System

The technology of smart or adaptive antenna for mobile communications has received huge interest worldwide in recent years. Using dynamically adaptive beampattern, a smart antenna can eliminate interference signals, increase the system capacity and the spectrum efficiency. Beamforming is the process...

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Main Authors: Shahab, Suhail Najm, Ayib Rosdi, Zainun, Nurul Hazlina, Noordin, Izzeldin, I. Mohd, Abdullah, Wisam Dawood
Format: Conference or Workshop Item
Language:English
English
Published: IEEE 2016
Subjects:
TK Electrical engineering. Electronics Nuclear engineering
Online Access:http://umpir.ump.edu.my/id/eprint/18457/
http://umpir.ump.edu.my/id/eprint/18457/
http://umpir.ump.edu.my/id/eprint/18457/1/Null%20steering%20Optimization%20based%20MVDR%20beamformer%20using%20hybrid%20PSOGSA%20approach%20for%20antenna%20array%20system.pdf
http://umpir.ump.edu.my/id/eprint/18457/2/Null%20steering%20Optimization%20based%20MVDR%20beamformer%20using%20hybrid%20PSOGSA%20approach%20for%20antenna%20array%20system%201.pdf
id ump-18457
recordtype eprints
spelling ump-184572018-04-12T07:09:09Z http://umpir.ump.edu.my/id/eprint/18457/ Null Steering Optimization Based MVDR Beamformer Using Hybrid PSOGSA Approach for Antenna Array System Shahab, Suhail Najm Ayib Rosdi, Zainun Nurul Hazlina, Noordin Izzeldin, I. Mohd Abdullah, Wisam Dawood TK Electrical engineering. Electronics Nuclear engineering The technology of smart or adaptive antenna for mobile communications has received huge interest worldwide in recent years. Using dynamically adaptive beampattern, a smart antenna can eliminate interference signals, increase the system capacity and the spectrum efficiency. Beamforming is the process of forming beams towards the direction of the real user while simultaneously suppressing signals origination from other directions. In this work, interference reduction one of the major problem in wireless communication system, thus, hybrid Particle Swarm Optimization and Gravitational Search Algorithm (PSOGSA) approach is one of the modern hybrid metaheuristic optimization algorithm applied to the smart antenna system. Minimum variance distortionless response (MVDR) integrated with hybrid PSOGSA approach to enhance the MVDR performance by controlling the complex excitation weight coefficients basing linear antenna array radiation pattern synthesis. The performance of the proposed MVDRPSOGSA method is assessed based on various QoS criteria such as beampattern accuracy for azimuth and elevation scanning angles and SINR output. The results reported here have been compared with the results of conventional MVDR technique. It is found that the SINR and output beampattern are in good agreement with MVDRPSOGSA. The proposed approach successfully used to determine the excitation weight coefficients of the linear antenna arrays to produce the shaped-beam patterns and to introduce deep nulls at prescribed unwanted directions. This work proposes a novel method to implement in the wireless communication system to eliminate the multiple access interference source. IEEE 2016 Conference or Workshop Item PeerReviewed application/pdf en http://umpir.ump.edu.my/id/eprint/18457/1/Null%20steering%20Optimization%20based%20MVDR%20beamformer%20using%20hybrid%20PSOGSA%20approach%20for%20antenna%20array%20system.pdf application/pdf en http://umpir.ump.edu.my/id/eprint/18457/2/Null%20steering%20Optimization%20based%20MVDR%20beamformer%20using%20hybrid%20PSOGSA%20approach%20for%20antenna%20array%20system%201.pdf Shahab, Suhail Najm and Ayib Rosdi, Zainun and Nurul Hazlina, Noordin and Izzeldin, I. Mohd and Abdullah, Wisam Dawood (2016) Null Steering Optimization Based MVDR Beamformer Using Hybrid PSOGSA Approach for Antenna Array System. In: IEEE Student Conference on Research and Development (SCOReD 2016), 13-14 December 2016 , Kuala Lumpur. pp. 1-6.. ISBN 978-1-5090-2948-8 https://doi.org/10.1109/SCORED.2016.7810078
repository_type Digital Repository
institution_category Local University
institution Universiti Malaysia Pahang
building UMP Institutional Repository
collection Online Access
language English
English
topic TK Electrical engineering. Electronics Nuclear engineering
spellingShingle TK Electrical engineering. Electronics Nuclear engineering
Shahab, Suhail Najm
Ayib Rosdi, Zainun
Nurul Hazlina, Noordin
Izzeldin, I. Mohd
Abdullah, Wisam Dawood
Null Steering Optimization Based MVDR Beamformer Using Hybrid PSOGSA Approach for Antenna Array System
description The technology of smart or adaptive antenna for mobile communications has received huge interest worldwide in recent years. Using dynamically adaptive beampattern, a smart antenna can eliminate interference signals, increase the system capacity and the spectrum efficiency. Beamforming is the process of forming beams towards the direction of the real user while simultaneously suppressing signals origination from other directions. In this work, interference reduction one of the major problem in wireless communication system, thus, hybrid Particle Swarm Optimization and Gravitational Search Algorithm (PSOGSA) approach is one of the modern hybrid metaheuristic optimization algorithm applied to the smart antenna system. Minimum variance distortionless response (MVDR) integrated with hybrid PSOGSA approach to enhance the MVDR performance by controlling the complex excitation weight coefficients basing linear antenna array radiation pattern synthesis. The performance of the proposed MVDRPSOGSA method is assessed based on various QoS criteria such as beampattern accuracy for azimuth and elevation scanning angles and SINR output. The results reported here have been compared with the results of conventional MVDR technique. It is found that the SINR and output beampattern are in good agreement with MVDRPSOGSA. The proposed approach successfully used to determine the excitation weight coefficients of the linear antenna arrays to produce the shaped-beam patterns and to introduce deep nulls at prescribed unwanted directions. This work proposes a novel method to implement in the wireless communication system to eliminate the multiple access interference source.
format Conference or Workshop Item
author Shahab, Suhail Najm
Ayib Rosdi, Zainun
Nurul Hazlina, Noordin
Izzeldin, I. Mohd
Abdullah, Wisam Dawood
author_facet Shahab, Suhail Najm
Ayib Rosdi, Zainun
Nurul Hazlina, Noordin
Izzeldin, I. Mohd
Abdullah, Wisam Dawood
author_sort Shahab, Suhail Najm
title Null Steering Optimization Based MVDR Beamformer Using Hybrid PSOGSA Approach for Antenna Array System
title_short Null Steering Optimization Based MVDR Beamformer Using Hybrid PSOGSA Approach for Antenna Array System
title_full Null Steering Optimization Based MVDR Beamformer Using Hybrid PSOGSA Approach for Antenna Array System
title_fullStr Null Steering Optimization Based MVDR Beamformer Using Hybrid PSOGSA Approach for Antenna Array System
title_full_unstemmed Null Steering Optimization Based MVDR Beamformer Using Hybrid PSOGSA Approach for Antenna Array System
title_sort null steering optimization based mvdr beamformer using hybrid psogsa approach for antenna array system
publisher IEEE
publishDate 2016
url http://umpir.ump.edu.my/id/eprint/18457/
http://umpir.ump.edu.my/id/eprint/18457/
http://umpir.ump.edu.my/id/eprint/18457/1/Null%20steering%20Optimization%20based%20MVDR%20beamformer%20using%20hybrid%20PSOGSA%20approach%20for%20antenna%20array%20system.pdf
http://umpir.ump.edu.my/id/eprint/18457/2/Null%20steering%20Optimization%20based%20MVDR%20beamformer%20using%20hybrid%20PSOGSA%20approach%20for%20antenna%20array%20system%201.pdf
first_indexed 2023-09-18T22:26:10Z
last_indexed 2023-09-18T22:26:10Z
_version_ 1777415980660555776

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