NDLI: Using Bayesian Inference for Linear Antenna Array Design

Content Provider	IEEE Xplore Digital Library
Author	Chung-Yong Chan Goggans, P.M.
Copyright Year	1963
Abstract	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.
Sponsorship	IEEE Antennas and Propagation Society
Starting Page	3211
Ending Page	3217
Page Count	7
File Size	367296
File Format	PDF
ISSN	0018926X
Volume Number	59
Issue Number	9
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2011-09-01
Publisher Place	U.S.A.
Access Restriction	One Nation One Subscription (ONOS)
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Arrays Bayesian methods Linear antenna arrays Chebyshev approximation Optimization linear antenna arrays design automation inference algorithms
Content Type	Text
Resource Type	Article
Subject	Condensed Matter Physics Electrical and Electronic Engineering

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