QPSK通信系统中遗传算法辅助双分集三冷阵列智能天线

Y. Ravinder, V. Pandharipande
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引用次数: 1

摘要

提出了一种采用三同心正交环和偶极子(Triple- cold)阵列的双(极化和空间)分集智能天线。利用极化分集,在用户到达角度非常接近的空间分集场景下,支持更多的用户。在一个三冷元件中有六个共存的元件,提供六个偏振自由度,节省空间。对于QPSK调制方案,采用遗传算法(GA)替代共轭梯度(CG)方法,采用自适应最小误码率方法,直接确定阵列权重以最小化误码率(BER)。遗传算法能够以比CG算法更低的复杂度逼近MBER解。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Genetic Algorithm Assisted Dual Diversity Smart Antenna with Triple-COLD Array for QPSK Communication System
A dual (polarization and spatial) diversity smart antenna using Triple co-centered orthogonal loop and dipole (Triple-COLD) array is presented. It exploits polarization diversity to support more users in spatial diversity scenario when users are very close to each other in terms of their arrival angles. There are six co-located elements in a single Triple-COLD element, which provide six polarization degrees of freedom with space saving. Array weights are determined directly to minimize the bit error rate (BER) using genetic algorithm (GA) alternate to conjugate gradient (CG) method, using adaptive minimum BER approach, for QPSK modulation scheme. GA is capable of approaching the MBER solution at a lower complexity than CG algorithm.
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