遗传算法控制的智能天线系统覆盖性能分析

M. M. Badjian, Kunalen Thirappa, T. S. Kiong, J. Paw, P. S. Krishnan
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引用次数: 3

摘要

本文开发并测试了一种基于遗传算法的新型智能天线。与传统的开关波束智能天线相比,新的遗传算法嵌入式方案简化了智能天线系统的控制,波束覆盖精度增加,波束可用性降低。该系统的扫描天线通过其频段通过射频功率检测器电路确定移动用户的位置。然后,GA操作以优化和引导覆盖波束,以满足动态用户的分布,并使用最小的功率。基于遗传算法嵌入式控制系统的智能天线实验表明,该天线在波束形成和转向处理移动用户方面取得了良好的效果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Coverage performance analysis of genetic algorithm controlled smart antenna system
In this paper, an innovative type of smart antenna based on genetic algorithm (GA) has been developed and tested. The new GA embedded solution simplifies the control of smart antenna system with increment of the accuracy of beam coverage and decrement of beam availability in compare with the conventional switch beam smart antenna. Scanning antenna of the system determined the location of mobile users through its band passed radio frequency power detector circuitry. GA then operates to optimize and steer the coverage beams to cater for dynamic users' distribution with minimum power usage. The experiment with GA embedded control system smart antenna shows good result in beam formation and steering to handle mobile users.
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