衰落信道广义选择分集的统一误差概率分析

A. Annamalai, Gautam K. Deora, C. Tellambura
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引用次数: 29

摘要

基于宽带蜂窝CDMA、毫米波和超宽带通信低复杂度接收机结构设计的实际考虑,从L个可用路径中自适应组合M个“最强”路径子集的广义选择组合接收机的研究在过去几年得到了加强。从理论角度来看,GSC(M, L)接收机的研究也很重要,因为该模型将经典的选择分集和最大比组合(相干检测)或检测后等增益组合(非相干检测)接收机结构封装为极限情况。首先,我们推导了具有独立同分布分集路径的GSC(M, L)输出信噪比的矩生成函数(MGF)的简明解析表达式(仅以一个有限范围积分的形式,其被积函数由表列函数组成)。以前的研究只处理Rayleigh或Nakagami-m(1960)通道模型,使用许多特别的方法来简化在MGF计算中出现的m维嵌套积分。我们计算MGF的数学框架的新颖性依赖于这样一个事实,即它允许我们在统一的意义上处理所有常见的多径衰落信道模型(Rayleigh,专家,Nakagami-m和Nakagami-q),它导致了比文献中可用的更优雅和计算效率更高的表达式,并且它适用于M和L值的任何组合。利用这种新导出的MGFs,我们为无数衰落环境中的许多相干和非相干数字调制/检测方案提供了统一的误差概率分析。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Unified error probability analysis for generalized selection diversity in Rician fading channels
Motivated by practical considerations in the design of low-complexity receiver structures for wideband cellular CDMA, millimeter-wave and ultra-wideband communications, the study on the generalized selection combining receiver that adaptively combines a subset of M "strongest" paths out of L available paths has intensified over the past few years. The study on GSC(M, L) receiver is also important from a theoretical standpoint because this model encapsulates both the classical selection diversity and maximal-ratio combining (coherent detection) or post-detection equal-gain combining (noncoherent detection) receiver structures as limiting cases. We first derive a concise analytical expression for the moment generating function (MGF) of the GSC(M, L) output signal-to-noise ratio with independent and identically distributed diversity paths over Rician fading channels (in terms of only a single finite range integral whose integrand is composed of tabulated functions). Previous studies have only treated either Rayleigh or Nakagami-m (1960) channel models using numerous ad-hoc approaches to simplify an M-dimensional nested integral that arise in the computation of the MGF. The novelty of our mathematical framework for computing the MGF relies on the fact that it allows us to treat all common multipath fading channel models (Rayleigh, Rician, Nakagami-m and Nakagami-q) in a unified sense, it leads to a much More elegant and computationally efficient expression than those available in the literature, and it holds for any combinations of M and L values. Using this newly derived MGFs, we provide a unified error probability analysis for many coherent and noncoherent digital modulation/detection schemes in a myriad of fading environments.
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