室内衰落环境下SMI算法自适应波束整形实验研究

S. Imtiaj, S. Bhattacharya, Ayon Seal, I. S. Misra
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引用次数: 1

摘要

在室内通信中,由于无线信道的小尺度衰落,且其脉冲特性随机变化,波束整形一直是一个难题。任何结论性的结果都需要大量的实验观察和大量的测量。本文对在室内衰落无线LTV信道下,采用采样矩阵反演(SMI)算法对接收天线阵列进行波束整形进行了广泛的实验研究。为了提高随机LTV信道的性能,我们提出了一种改进的自适应SMI,利用基于FPGA的可重构WARP板的开发试验台模型实现所需智能天线系统的更快波束整形。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
An Experimental Approach Towards Adaptive Beam-Shaping using SMI Algorithm in Indoor Fading Environment
Beam shaping in indoor communication is always a challenge because of small scale fading where the wireless channel shows the random variation of its impulse characteristics. It requires lots of experimental observations and large sets of measurement for any conclusive results. In this paper, an extensive experimental investigation is performed under indoor fading wireless LTV Channel for beam shaping of receiving antenna array using well known Sample Matrix Inversion (SMI) algorithm. For improved performance in random LTV channel, we propose a modified adaptive SMI to achieve faster beam shaping of desired Smart Antenna system using a developed test-bed model with FPGA based reconfigurable WARP boards.
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