DocumentCode :
2703609
Title :
Design of Optimal Broadband Microstrip Antenna Elements in the Array Environment using Genetic Algorithms
Author :
Shaw, Robert K. ; Werner, Douglas H.
Author_Institution :
Dept. of Electr. Eng., Pennsylvania State Univ., University Park, PA
fYear :
2006
fDate :
9-14 July 2006
Firstpage :
3727
Lastpage :
3730
Abstract :
In this paper, a genetic algorithm (GA) design methodology is presented for the synthesis of broadband or multiband microstrip stacked-patch antenna arrays. The geometric and electric properties of a single element in an infinite array environment are optimized so that the mutual coupling between the array elements can be properly accounted for. A full-wave periodic finite element-boundary integral (PFE-BI) method is combined with a robust parallel GA for the purpose of optimizing microstrip antenna elements with complex geometries and inhomogeneous dielectric materials in the array environment. An example is presented for a stacked-patch antenna element optimized in the array environment that achieves a 35% bandwidth
Keywords :
boundary integral equations; broadband antennas; dielectric materials; finite element analysis; genetic algorithms; microstrip antenna arrays; multifrequency antennas; complex geometries; electric property; full-wave periodic finite element-boundary integral method; genetic algorithms; geometric property; infinite array environment; inhomogeneous dielectric materials; multiband microstrip stacked-patch antenna arrays; mutual coupling; optimal broadband microstrip antenna elements; robust parallel GA; Algorithm design and analysis; Broadband antennas; Design methodology; Finite element methods; Genetic algorithms; Integral equations; Microstrip antenna arrays; Microstrip antennas; Mutual coupling; Robustness;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Antennas and Propagation Society International Symposium 2006, IEEE
Conference_Location :
Albuquerque, NM
Print_ISBN :
1-4244-0123-2
Type :
conf
DOI :
10.1109/APS.2006.1711432
Filename :
1711432
Link To Document :
بازگشت