A Novel Indoor UWB Antenna Array Design by GA

Chien-Hung Chen, Shu-Han Liao, Min-Hui Ho, C. Chiu, Kuan-Chung Chen
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引用次数: 9

Abstract

In this paper, a new ultra wideband circular antenna array (UCAA) combining genetic algorithm(GA) to minimize the bit error rate (BER) is proposed. The novelties of our approach is not only choosing BER as the object function instead of sidelobe level of the antenna pattern, but also consider the antenna feed length effect of each array element. The strong point of the genetic algorithm is that it can find out the solution even if the performance index cannot be formulated by simple equations. In other words, the receiver can increase the received signal energy to noise ratio. The synthesized array pattern also can mitigate severe multipath fading in complex propagation environment. As a result, the BER can be reduced substantially in indoor UWB communication system.
一种基于遗传算法的室内超宽带天线阵列设计
本文提出了一种结合遗传算法最小化误码率的新型超宽带圆形天线阵列(UCAA)。该方法的新颖之处在于不仅选择误码率作为目标函数而不是天线方向图的副瓣电平,而且还考虑了各阵元的馈电长度效应。遗传算法的优点是即使性能指标不能用简单的方程表示,它也能找到解。换句话说,接收机可以提高接收到的信号能量噪声比。在复杂的传播环境下,合成的阵列方向图还可以缓解严重的多径衰落。因此,在室内超宽带通信系统中,可以大大降低误码率。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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