First EAI International Conference on Computer Science and Engineering

Research Article

Interference Reduction by Null-forming Optimization Based MVDR Technique Using Gravitational Search Algorithm

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  • @INPROCEEDINGS{10.4108/eai.27-2-2017.152345,
        author={Suhail Najm Shahab and Ayib Rosdi Zainun and Waleed M. Sh. Alabdraba and Nurul Hazlina Noordin and Izzeldin Ibrahim Mohamed},
        title={Interference Reduction by Null-forming Optimization Based MVDR Technique Using Gravitational Search Algorithm},
        proceedings={First EAI International Conference on Computer Science and Engineering},
        publisher={EAI},
        proceedings_a={COMPSE},
        year={2017},
        month={3},
        keywords={Beamforming; Linear Antenna Array; Minimum Variance Distortionless Response SINR Smart Antenna.},
        doi={10.4108/eai.27-2-2017.152345}
    }
    
  • Suhail Najm Shahab
    Ayib Rosdi Zainun
    Waleed M. Sh. Alabdraba
    Nurul Hazlina Noordin
    Izzeldin Ibrahim Mohamed
    Year: 2017
    Interference Reduction by Null-forming Optimization Based MVDR Technique Using Gravitational Search Algorithm
    COMPSE
    EAI
    DOI: 10.4108/eai.27-2-2017.152345
Suhail Najm Shahab1,*, Ayib Rosdi Zainun1, Waleed M. Sh. Alabdraba2, Nurul Hazlina Noordin1, Izzeldin Ibrahim Mohamed1
  • 1: Faculty of Electrical and Electronics Engineering, Universiti Malaysia Pahang, 26600, Pahang, Malaysia
  • 2: Environmental Engineering Department, College of Engineering, Tikrit University, Tikrit, Iraq.
*Contact email: 68suhel@gmail.com

Abstract

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 beampattern 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.