Synthesis of non-broadside linear array with sparse Bayesian learning

2018 IEEE ANTENNAS AND PROPAGATION SOCIETY INTERNATIONAL SYMPOSIUM ON ANTENNAS AND PROPAGATION & USNC/URSI NATIONAL RADIO SCIENCE MEETING(2018)

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摘要
In this work, a method based on the sparse Bayesian learning is applied to design the excitation coefficient and location of each element for the non-broadside linear array for the given desired radiation pattern. The fast marginal likelihood algorithm is considered to improve the efficiency, and the hyperparameter is estimated pairwise for the complex excitation coefficients.
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关键词
sparse Bayesian learning,nonbroadside linear array,fast marginal likelihood algorithm,complex excitation coefficients,hyperparameter,desired radiation pattern
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