DocumentCode :
3304116
Title :
Antenna Bandwidth Optimization Using Transmission Line Matrix Modeling and Genetic Algorithms
Author :
Fichtner, Nikolaus ; Siart, Uwe ; Russer, Peter
Author_Institution :
Tech. Univ. Munchen, Munchen
fYear :
2007
fDate :
July 30 2007-Aug. 2 2007
Firstpage :
79
Lastpage :
82
Abstract :
The optimization of electromagnetic structures demands for a fast and efficient field solver in conjunction with a flexible and stable optimization method. In this work the time-domain based transmission line matrix (TLM) method is combined with the genetic algorithm (GA). The proposed technique is especially advantageous for the optimization of the operating bandwidth of EM structures and yields a reduced total optimization time compared to conventional frequency domain methods. The efficiency and flexibility of the combined TLM-GA optimization method is shown on the example of low profile patch antennas. The optimized antenna structures support multi-band operation over several Gigahertz. The direct connection of the GA algorithm to the TLM structure file enables a fast and efficient implementation of the optimization routine.
Keywords :
genetic algorithms; microstrip antennas; time-domain analysis; transmission line matrix methods; antenna bandwidth optimization; electromagnetic structures; genetic algorithms; low-profile patch antennas; multiband operation; time-domain based TLM method; transmission line matrix modeling; Algorithm design and analysis; Bandwidth; Biological cells; Design optimization; Frequency; Genetic algorithms; Optimization methods; Patch antennas; Transmission line antennas; Transmission line matrix methods; Antenna Optimization; Genetic Algorithm (GA); Patch Antenna; Transmission Line Matrix Method (TLM);
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Signals, Systems and Electronics, 2007. ISSSE '07. International Symposium on
Conference_Location :
Montreal, Que.
Print_ISBN :
1-4244-1448-2
Electronic_ISBN :
1-4244-1449-0
Type :
conf
DOI :
10.1109/ISSSE.2007.4294418
Filename :
4294418
Link To Document :
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