Design of a frequency selective surface (FSS) with very low cross-polarization discrimination via the parallel micro-genetic algorithm (PMGA)

2003 ◽  
Vol 51 (7) ◽  
pp. 1664-1668 ◽  
Author(s):  
S. Chakravarty ◽  
R. Mittra
2010 ◽  
Vol 143-144 ◽  
pp. 1046-1050
Author(s):  
Jing Yu Han ◽  
Wang Qun ◽  
Chuan You Li ◽  
Zhang Hong Tang ◽  
Mei Wu Shi

In this paper, a new genetic algorithm method to optimize the frequency selective surface(FSS) is presented. The optimization speed and definition are promoted by limiting the parameter range and changing the genetic basis. A new cost function is introduced to optimize the multi-frequency of FSS by multi-object optimization (MO). The cirque element was optimized by the optimization method, fabricated by the selective electroless plating on fabric and measured by the arch test system. Test result proves the simulated result coincide with measured result. Result shows that it’s possible to realize different optimizations based on the various applying by this method.


1999 ◽  
Vol 35 (17) ◽  
pp. 1400 ◽  
Author(s):  
G. Manara ◽  
A. Monorchio ◽  
R. Mittra

2013 ◽  
Vol 694-697 ◽  
pp. 1403-1406
Author(s):  
Shui Qiao Jiang ◽  
Qiang Gao

In this paper, a novel genetic-algorithm-based AMC structure, which is made up of high-impedance frequency selective surface, is introduced. The aperture-coupled microstrip antenna using this structure has 10dB less back radiation and 3~4dB more gains than a conventional one. This structure has important reference value to the manufacture of antenna. Practical antenna is fabricated, and the measured results basically agree with the simulated well.


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