Multiobjective Design of Linear Antenna Arrays Using Bayesian Inference Framework

    Authors

    C. Y. Chan;P. M. Goggans

    Comments

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    Abbreviated Journal Title

    IEEE Trans. Antennas Propag.

    Keywords

    Automated multiobjective design; Bayesian data fusion; inference-based; design; linear antenna array; PARTICLE SWARM OPTIMIZATION; UNEQUALLY SPACED ARRAYS; DYNAMIC-RANGE; RATIO; PATTERN; PLANAR; ELECTROMAGNETICS; ALGORITHM; NUMBER; Engineering, Electrical & Electronic; Telecommunications

    Abstract

    The Bayesian inference framework for design introduced in Chan and Goggans ["Using Bayesian inference for linear antenna array design," IEEE Trans. Antennas Propag., vol. 59, no. 9, pp. 3211-3217, Sep. 2011] is applied to design linear antenna arrays capable of realizing multiple radiation patterns while satisfying various design requirements. Many design issues are involved when designing a linear antenna array. This paper focuses on four practical design issues: the need for minimum spacing between two adjacent array elements, limitations in the dynamic range and accuracy of the current amplitudes and phases, the ability to produce multiple desired radiation patterns using a single array, and the ability to maintain a desired radiation pattern over a certain frequency band. We present an implementation of these practical design requirements based on the Bayesian inference framework, together with representative examples. Our results demonstrate the capability and robustness of the Bayesian method in incorporating real-world design requirements into the design of linear antenna arrays.

    Journal Title

    Ieee Transactions on Antennas and Propagation

    Volume

    62

    Issue/Number

    11

    Publication Date

    1-1-2014

    Document Type

    Article

    Language

    English

    First Page

    5524

    Last Page

    5530

    WOS Identifier

    WOS:000344588900011

    ISSN

    0018-926X

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