DocumentCode :
1850324
Title :
The application of genetic algorithm on the frequency extrapolation method using current density from the MOM
Author :
Zeng, Guoqi ; Zhangfeng ; Li, Siying
Author_Institution :
UAV Res. Acad., Beijing Univ. of Aeronaut. & Astronaut., Beijing, China
Volume :
2
fYear :
2011
fDate :
13-15 May 2011
Firstpage :
677
Lastpage :
680
Abstract :
The multiple trace current density, from the result of MOM (Method of Moment), model varying with the frequency was created, ESPRIT method is used to evaluate the parameters of the model based the current densities at several frequency points, it is easy to obtain the more wide frequencies current density and it saves lots of time to calculate the wide band scatting; it is indicated that the extrapolation results agree with the results using the strict MOM when the extrapolation scope less than six, but the results become disperse when the extrapolation scope enlarge more, and extrapolation scope is not stable. The optical function of genetic algorithm was found by calculating the sample point data at more wide frequencies, at which the extrapolation data agree with that from MOM, and the model parameters was revised. The monostatic and biostatic RCS were discussed between the extrapolation result and that from MOM of the paraboloid, when electromagnetic wave incidence inclined; it is indicated that the precision and band of frequency extrapolation can be enlarged more.
Keywords :
computational electromagnetics; current density; genetic algorithms; method of moments; ESPRIT method; MOM; electromagnetic wave incidence; frequency extrapolation method; genetic algorithm; method of moment; multiple trace current density; optical function; paraboloid; wide band scatting; Current density; Extrapolation; Frequency estimation; Genetic algorithms; Moment methods; Time frequency analysis; Frequency Extrapolation; Genetic Algorithm; Method of Moment;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Business Management and Electronic Information (BMEI), 2011 International Conference on
Conference_Location :
Guangzhou
Print_ISBN :
978-1-61284-108-3
Type :
conf
DOI :
10.1109/ICBMEI.2011.5918003
Filename :
5918003
Link To Document :
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