DocumentCode
2647571
Title
Study of model order reduction techniques for modeling large finite antenna array
Author
Peng, Zhen ; Lee, Jin-Fa
Author_Institution
Electr. Eng. Dept., Ohio State Univ., Columbus, OH, USA
fYear
2009
fDate
1-5 June 2009
Firstpage
1
Lastpage
4
Abstract
Numerical analysis of wide band large antenna array plays a crucial role in the prediction of design performance prior to construction. Since these arrays mostly are electrically large and include complex geometries, accurate simulation is a great challenge. However, recent developments of domain decomposition method (DDM) provides us an efficient way to obtain field solution at each frequency point. However, for many real-life phased array applications, the spectral responses over a wide frequency band are usually needed. For frequency domain CEM approaches, the model order reduction (MORe) techniques are often employed for fast frequency sweep. In this paper, we study a few MORe techniques and apply them for large finite antenna array. Through our numerical studies and plots of pole distributions, we found that the number of expansion points increases significantly with the size of array. By using the current existing MORe method, the costs for modeling electrically large electromagnetic problems are still prohibitive.
Keywords
antenna phased arrays; broadband antennas; frequency-domain analysis; reduced order systems; domain decomposition method; electrically large electromagnetic problems; fast frequency sweep; finite antenna array; frequency domain CEM; model order reduction techniques; numerical analysis; pole distributions; real-life phased array applications; spectral responses; wide band large antenna array; wide frequency band; Antenna arrays; Broadband antennas; Costs; Distributed decision making; Electromagnetic modeling; Frequency domain analysis; Geometry; Numerical analysis; Phased arrays; Solid modeling;
fLanguage
English
Publisher
ieee
Conference_Titel
Antennas and Propagation Society International Symposium, 2009. APSURSI '09. IEEE
Conference_Location
Charleston, SC
ISSN
1522-3965
Print_ISBN
978-1-4244-3647-7
Type
conf
DOI
10.1109/APS.2009.5171715
Filename
5171715
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