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PIER PIER B PIER C PIER M PIER Letters PIER Photonics
2009-06-19
Linear and Circular Array Optimization: A Study Using Particle Swarm Intelligence
By
Majid M. Khodier,

    Dr. Majid M. Khodier

    Department of Electrical Engineering

    Jordan University of Science and Technology

    Jordan

    Homepage

Mohammad Al-Aqeel

    Dr. Mohammad Al-Aqeel

    Department of Electrical Engineering

    Jordan University of Science & Technology

    Jordan

    Homepage

Progress In Electromagnetics Research B, Vol. 15, 347-373, 2009
doi:10.2528/PIERB09033101 | Google Scholar

Abstract
Linear and circular arrays are optimized using the particle swarm optimization (PSO) method. Also, arrays of isotropic and cylindrical dipole elements are considered. The parameters of isotropic arrays are elements excitation amplitude, excitation phase and locations, while for dipole array the optimized parameters are elements excitation amplitude, excitation phase, location, and length. PSO is a high-performance stochastic evolutionary algorithm used to solve N-dimensional problems. The method of PSO is used to determine a set of parameters of antenna elements that provide the goal radiation pattern. The effectiveness of PSO for the design of antenna arrays is shown by means of numerical results. Comparison with other methods is made whenever possible. The results reveal that design of antenna arrays using the PSO method provides considerable enhancements compared with the uniform array and the synthesis obtained from other optimization techniques.
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Citation
Majid M. Khodier, and Mohammad Al-Aqeel, "Linear and Circular Array Optimization: A Study Using Particle Swarm Intelligence," Progress In Electromagnetics Research B, Vol. 15, 347-373, 2009.
doi:10.2528/PIERB09033101
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