Using Bayesian Inference for Linear Antenna Array Design

Based on the observation that design and inference are both generalized inverse problems, we devise a new approach that uses the Bayesian inference framework for the automated design of linear antenna arrays. Compared to the optimization-based techniques that are widely used for automated antenna de...

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Bibliographic Details
Published in:IEEE transactions on antennas and propagation 2011-09, Vol.59 (9), p.3211-3217
Main Authors: Chung-Yong Chan, Goggans, Paul M.
Format: Article
Language:English
Subjects:
Antenna arrays
Antennas
Applied sciences
Arrays
Automated
Bayesian analysis
Bayesian methods
Beams (radiation)
Chebyshev approximation
design automation
Exact sciences and technology
Generalized inverse
Inference
inference algorithms
Linear antenna arrays
Optimization
Radiocommunications
Telecommunications
Telecommunications and information theory
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Summary:Based on the observation that design and inference are both generalized inverse problems, we devise a new approach that uses the Bayesian inference framework for the automated design of linear antenna arrays. Compared to the optimization-based techniques that are widely used for automated antenna design, this newly-developed method has a prominent advantage, which is the capability to determine automatically the number of antenna elements required to satisfy design requirements and specifications. Three broadside array design problems, which include the null-controlled pattern, the sector beam pattern, and the Chebyshev pattern, along with an end-fire array design problem, are presented as examples. The obtained results demonstrate the advantages of using the Bayesian inference framework for the design of linear antenna arrays.
ISSN:0018-926X
1558-2221
DOI:10.1109/TAP.2011.2161437