DocumentCode
155131
Title
Fast iterative calculation of large body mounted antenna radiation using adaptive cross approximation
Author
Gabriadze, Giga ; Bodganov, Faik ; Tsereteli, Paata ; Jobava, R. ; Tskhovrebashvili, Vazha
Author_Institution
Tbilisi State Univ., Tbilisi, Georgia
fYear
2014
fDate
22-25 Sept. 2014
Firstpage
116
Lastpage
120
Abstract
This paper describes the application of ACA (Adaptive Cross Approximation) algorithm for acceleration of MoM solution of large scale radiation problems. System of linear equations is solved using iterative solution and ACA is used to reduce required memory for matrix storage and speed up matrix-vector-product operation. To demonstrate applicability and performance of described technique, two numerical experiments are presented: a) calculation of radiation pattern of Magellan spacecraft high gain reflector antenna operating at 3GHz and b) calculation of radiation pattern of Wi-Fi antenna mounted on the roof of the vehicle, operating at 5.9GHz frequency. We show that ACA calculation is much faster than direct solution, while accuracy is quite acceptable.
Keywords
antenna radiation patterns; approximation theory; iterative methods; method of moments; reflector antennas; ACA algorithm; Magellan spacecraft high gain reflector antenna; MoM acceleration; Wi-Fi antenna; adaptive cross approximation algorithm; iterative calculation; large body mounted antenna radiation; linear equations; matrix storage; method of moments; numerical experiments; radiation pattern; speed up matrix-vector-product operation; Antenna radiation patterns; Approximation methods; Electromagnetic scattering; Matrix decomposition; Method of moments; Space vehicles; Adaptive Cross Approximation; Hierarchical matrixes; Sparse Approximate Invesre;
fLanguage
English
Publisher
ieee
Conference_Titel
Direct and Inverse Problems of Electromagnetic and Acoustic Wave Theory (DIPED), 2014 XIXth International Seminar/Workshop on
Conference_Location
Tbilisi
Print_ISBN
978-1-4799-6213-6
Type
conf
DOI
10.1109/DIPED.2014.6958342
Filename
6958342
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