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Interference reduction by null-forming optimization based MVDR technique using gravitational search algorithm

Shahab, Suhail Najm and Ayib Rosdi, Zainun and Alabdraba, Waleed M. Sh. and Nurul Hazlina, Noordin (2017) Interference reduction by null-forming optimization based MVDR technique using gravitational search algorithm. In: 1st EAI International Conference on Computer Science and Engineering (COMPSE 2016), 11-12 November 2016 , Penang, Malaysia. pp. 1-12.. ISBN 9781631901362

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Interference reduction one of the major problem in the wireless communication systems. Minimum Variance Distortionless Response (MVDR) Beamformer is the process of extracting the user-of-interest (UOI) signal from interferer signals and external noise. In the present work, Gravitational Search Algorithm (GSA) is a new modern metaheuristic optimization technique used for optimizing the MVDR null-forming level by controlling the excitation weight coefficients in a linear antenna array radiation pattern synthesis. The best set of complex excitation coefficients solution in multidimensional problems evaluated based on two figure of merit, signal-to-interference-plus-noise ratio (SINR) and beam pattern accuracy for two scan angles. The results reported here have been compared with the results of conventional MVDR technique. MVDRGSA successfully used to calculate the excitation weight coefficients with the desired patterns for both accurate beam shaping and introduce deep pattern nulling. It found that the SINR and output beampattern were in good agreement with MVDRGSA.

Item Type: Conference or Workshop Item (Lecture)
Additional Information: Indexed by Scopus
Uncontrolled Keywords: Beamforming; Linear Antenna Array; Minimum Variance Distortionless Response; SINR; Smart Antenna
Subjects: T Technology > TK Electrical engineering. Electronics Nuclear engineering
Faculty/Division: Faculty of Electrical & Electronic Engineering
Institute of Postgraduate Studies
Depositing User: Mrs Norsaini Abdul Samat
Date Deposited: 22 Mar 2020 23:55
Last Modified: 22 Mar 2020 23:55
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