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Memetic Algorithms for Multiple Interference Cancellations of Linear Array Based on Phase-Amplitude Perturbations

Author

Listed:
  • C. H. Hsu

    (Chienkuo Technology University)

  • W. J. Shyr

    (National Changhua University of Education)

  • K. H. Kuo

    (Chienkuo Technology University)

  • P. H. Chou

    (National Changhua University of Education)

  • M. J. Wu

    (National Changhua University of Education)

Abstract

A novel method based on the memetic algorithm for the design of multiple interference cancellations of a linear array antenna by phase-amplitude perturbations is proposed. The adaptive array antenna is capable of sensing the presence of interference sources and suppressing the interferences in the interfering directions. This technique can increase the signal-to-interference ratio. The memetic algorithm is applied to find the weighting vector which makes the pattern nulling optimization of the proposed adaptive antenna. This technique is also able to do the cancellation of multiple interferences for different incident directions.

Suggested Citation

  • C. H. Hsu & W. J. Shyr & K. H. Kuo & P. H. Chou & M. J. Wu, 2010. "Memetic Algorithms for Multiple Interference Cancellations of Linear Array Based on Phase-Amplitude Perturbations," Journal of Optimization Theory and Applications, Springer, vol. 144(3), pages 629-642, March.
    • Handle: RePEc:spr:joptap:v:144:y:2010:i:3:d:10.1007_s10957-009-9577-5
    DOI: 10.1007/s10957-009-9577-5
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    References listed on IDEAS

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    1. R. Yang & I. Douglas, 1998. "Simple Genetic Algorithm with Local Tuning: Efficient Global Optimizing Technique," Journal of Optimization Theory and Applications, Springer, vol. 98(2), pages 449-465, August.
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