Some new results on the asymptotic analysis for diversity receivers

E. Adebola, A. Annamalai
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Abstract

This article derives a new class of closed-form asymptotic expressions for computing the average symbol error rate (ASER) and outage probability/capacity performance measures of digital communications with diversity transceivers. Specifically, we study the efficacy of our recently proposed normalized asymptotic probability density function (PDF) of signal-to-noise ratio (SNR) method to both unify and simplify the analyses of selection diversity combining (SDC), maximal ratio combining (MRC) and equal gain combining (EGC) diversity techniques in different multipath fading environments and modulation schemes. Our approach requires only the knowledge of the first non-zero term of Poincare/Taylor series expansion of the PDF of diversity combiner output SNR (thereby circumventing the difficulties involved in computing coefficients of higher order approximations) while yielding significantly better predictions than the traditional high-SNR approximation, especially in the low and medium mean SNR regions.
关于分集接收机渐近分析的一些新结果
本文导出了一类新的闭型渐近表达式,用于计算具有分集收发器的数字通信的平均符号误码率(ASER)和中断概率/容量性能度量。具体而言,我们研究了最近提出的归一化渐近概率密度函数(PDF)信噪比(SNR)方法在不同多径衰落环境和调制方案下统一和简化选择分集组合(SDC)、最大比组合(MRC)和等增益组合(EGC)分集技术分析的有效性。我们的方法只需要知道分集组合器输出信噪比PDF的庞加莱/泰勒级数展开的第一个非零项(从而避免了计算高阶近似系数的困难),同时产生比传统的高信噪比近似更好的预测,特别是在低和中等平均信噪比区域。
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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