Array pattern synthesis approach using a genetic algorithm

被引:15
|
作者
Elkamchouchi, Hassan M. [1 ]
Hassan, Mohamed M. [1 ]
机构
[1] Univ Alexandria, Fac Engn, Dept Elect, Alexandria, Egypt
关键词
genetic algorithms; antenna arrays; array pattern synthesis approach; genetic algorithm; GA optimisation; pattern main lobe; side lobes; adaptive processing applications; uniform linear array; isotropic elements; weighting factor; SIDELOBE REDUCTION;
D O I
10.1049/iet-map.2013.0718
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
In this study, a new array pattern synthesis approach using a genetic algorithm (GA) is proposed. The proposed approach has a unique set of objectives to be achieved by exploiting the GA optimisation capabilities. These objectives are: (i) steering the pattern main lobe in the direction of the signal of interest, (ii) minimising the side lobes level, (iii) steering pattern nulls in the directions of jammers and interferers, (iv) forcing the pattern nulls to have prespecified values in order to insure sufficient elimination of jammers and interferers and (v) the whole pattern synthesis will be done by changing the amplitudes and phases of the array elements' complex weights without any physical changes in the array; thus the method will be suitable for adaptive processing applications in which the array pattern will be dynamically adapted to the environments. Numerical examples will be used to demonstrate the effectiveness of the proposed array pattern synthesis approach using a uniform linear array of isotropic elements. Finally, the effect of changing the array number of elements and the weighting factor will be investigated using numerical examples.
引用
收藏
页码:1236 / 1240
页数:5
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