scholarly journals PATTERN SYNTHESIS OF CONFORMAL ANTENNA ARRAY BY THE HYBRID GENETIC ALGORITHM

2008 ◽  
Vol 79 ◽  
pp. 75-90 ◽  
Author(s):  
Zhi Xu ◽  
Hong Li ◽  
Qi-Zhong Liu ◽  
Jian-Ying Li
2009 ◽  
Author(s):  
Yuan Yuan ◽  
Zhi Xu ◽  
Zhan Bo Lu ◽  
Ya Jun Chen ◽  
Zhi Mei Hao

2009 ◽  
Vol 51 (6) ◽  
pp. 1487-1491 ◽  
Author(s):  
Wentao Li ◽  
Shufang Liu ◽  
Xiaowei Shi ◽  
Yongqiang Hei

2014 ◽  
Vol 2014 ◽  
pp. 1-10 ◽  
Author(s):  
K. R. Subhashini ◽  
A. T. Praveen Kumar

Hemispherical antenna arrays are subjected to linear and nonlinear synthesis and are optimized using adaptive based differential evolution (ADE) and fire fly (AFA) algorithm. The hemispherical shaped array with isotropic elements is considered. Antenna element parameters that are used for synthesis are excitation amplitude and angular position. Linear synthesis is termed as the variation in the element excitation amplitude and nonlinear synthesis is process of variation in element angular position. Both ADE and AFA are a high-performance stochastic evolutionary algorithm used to solveN-dimensional problems. These methods are used to determine a set of parameters of antenna elements that provide the desired radiation pattern. The effectiveness of the algorithms for the design of conformal antenna array is shown by means of numerical results. Comparison with other methods is made whenever possible. The results reveal that nonlinear synthesis, aided by the discussed techniques, provides considerable enhancements compared to linear synthesis.


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