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PIER PIER B PIER C PIER M PIER Letters PIER Photonics
2012-09-12
Design of Non-Uniform Circular Antenna Arrays --- an Evolutionary Algorithm Based Approach
By
Pradipta Ghosh,

    Mr. Pradipta Ghosh

    Electrical Engineering

    University of Southern California

    India

    Homepage

Joydeep Banerjee,

    Dr. Joydeep Banerjee

    Department of Electronics and Communication Engineering

    Jadavpur University

    India

    Homepage

Swagatam Das,

    Dr. Swagatam Das

    Jadavpur University

    India

    Homepage

Sheli Sinha Chaudhuri

    Dr. Sheli Sinha Chaudhuri

    Department of Electronics and Communication Engineering

    Jadavpur University

    India

    Homepage

Progress In Electromagnetics Research B, Vol. 43, 333-354, 2012
doi:10.2528/PIERB12051808 | Google Scholar

Abstract
Our main objective in this article is to achieve minimum side lobe levels for a specific first null beam-width and also a minimum size of the circumference by an optimization-based design method for non-uniform, planar, and circular antenna arrays. Our approach is based on a new variant of Particle swarm Optimization technique. This new technique is a hybrid of Local Neighborhood based PSO with Hierarchical PSO Algorithms termed as Hierarchical Dynamic Local Neighborhood Based PSO (HDLPSO) Algorithm. Three difficult instances of the circular array design problem have been presented to illustrate the effectiveness of the proposed HDLPSO algorithm. The design results obtained with HDLPSO have been shown to comfortably beat the results obtained with other state-of-the-art meta-heuristics like Genetic Algorithm (GA), Particle Swarm Optimization (PSO), Invasive Weed Optimization (IWO) and Differential Evolution (DE) in a statistically significant manner.
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Citation
Pradipta Ghosh, Joydeep Banerjee, Swagatam Das, and Sheli Sinha Chaudhuri, "Design of Non-Uniform Circular Antenna Arrays --- an Evolutionary Algorithm Based Approach," Progress In Electromagnetics Research B, Vol. 43, 333-354, 2012.
doi:10.2528/PIERB12051808
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