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Performance analysis of Diversity Techniques and amplify and forward wireless relay networks in multipath fading channels

机译:多径衰落信道中分集技术以及无线中继网络的放大和转发性能分析

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In this paper, bit error rate (BER) analysis of Diversity Techniques and amplify and forward (AF) wireless relay networks (WRN) in various multipath fading channels is addressed. Transmit diversity and Receive diversity techniques are considered and finally extended to multiple input multiple output (MIMO) systems. Normally Rayleigh distribution is employed to model short term fading statistics in high frequency (HF) applications. But when fading is severe in applications like long distance HF communication links Nakagami distribution can be employed and Rician distribution can be used in scenarios where there is line of sight (LOS) communication. Simulation results are obtained in Rayleigh, Rician and Nakagami flat fading channels to characterize BER performance of Diversity Techniques. Moreover, the main contribution of this paper is best linear unbiased estimation (BLUE) based BER analysis of AFWRN in Rayleigh flat fading channel environments. Eventhough, BLUE is an existing algorithm when applied for AFWRN, simulation results signify that BLUE based BER analysis is better than traditional least squares (LS) and minimum mean square error (MMSE) based BER performance since BLUE has minimum variance characteristic. Results obtained can act as a benchmark for analyzing BER performance of Diversity Techniques and amplify and forward wireless relay networks.
机译:本文研究了分集技术的误码率(BER)分析以及各种多径衰落信道中的放大转发(AF)无线中继网络(WRN)。考虑了发射分集和接收分集技术,并最终将其扩展到多输入多输出(MIMO)系统。通常,瑞利分布用于在高频(HF)应用中对短期衰落统计量进行建模。但是当衰落在长距离HF通信链路等应用中很严重时,可以采用Nakagami分布,而在视线(LOS)通信的情况下可以使用Rician分布。在Rayleigh,Rician和Nakagami平坦衰落信道中获得了仿真结果,以表征分集技术的BER性能。而且,本文的主要贡献是在瑞利平坦衰落信道环境中,基于最佳线性无偏估计(BLUE)的AFWRN的BER分析。尽管BLUE是应用于AFWRN时的现有算法,但是仿真结果表明,基于BLUE的BER分析要优于传统的基于最小二乘法(LS)和基于最小均方误差(MMSE)的BER性能,因为BLUE具有最小的方差特性。获得的结果可以用作分析分集技术的BER性能以及放大和转发无线中继网络的基准。

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