Channel Estimation using Antenna Array in Presence of Impulsive Noise

Sananda Kumar
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Abstract

The paper deals with the channel estimation using Uniform Linear Array (ULA) antenna. The antennae are treated as individual nodes capable of collecting information and sharing them to the centralized processor for further processing. The environment is assumed to have impulsive noise where the traditional least square methods fail to perform. The paper implements M-type estimator (modified Huber algorithm) to improvise the estimation performance. To demonstrate efficacy of the algorithm, it is implemented with different impulsive noise presence in simulation and compared with traditional method and found to perform better. Moreover the mean stability condition of the algorithm is calculated.
脉冲噪声下的天线阵列信道估计
本文研究了用均匀线性阵列(ULA)天线进行信道估计的方法。天线被视为能够收集信息并将其共享给中央处理器以进行进一步处理的单个节点。假设环境中存在脉冲噪声,传统的最小二乘方法无法实现。本文采用m型估计器(改进的Huber算法)来改进估计性能。为了验证该算法的有效性,在不同脉冲噪声存在情况下进行了仿真,并与传统方法进行了比较,结果表明该算法具有更好的性能。并对算法的平均稳定性条件进行了计算。
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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