基于最大搜索的代码同步概率的渐近分析

H. Saarnisaari, J. Iinatti
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引用次数: 8

摘要

本文的目的是确定基于最大搜索的直接序列同步过程的决策变量超过广义似然比检测器设定的信号检测阈值的概率。所需的分布与信号存在与否无关。所调查的代码阶段也不是正确的。在对信号存在不确定性的系统进行同步过程分析和阈值设置时,需要推导出新的概率。这些包括所有随机存取类型的系统。另外,其他需要的概率,比如我们更熟悉的正确的bin是最大值的概率,也可以使用相同的渐近分析方法来确定。分析结果与仿真结果进行了比较。可以得出结论,分析结果很好地预测了概率高的点,接近于1。这些通常是系统设计师想要知道的要点。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Asymptotic analysis of maximum search based code synchronization probabilities
The aim of this paper is to determine the probability that the decision variable of a maximum search based direct sequence synchronization procedure exceeds also a signal detection threshold set by the generalized likelihood ratio detector. The required distribution is derived independent of the signal presence or absence. Neither has the investigated code phase be the correct one. The derived novel probability is required in the analysis and threshold setting of synchronization processes of systems that have uncertainty on the existence of the signal. These include all random access type systems. Also other required probabilities, like the more familiar probability that the correct bin is the maximum, are determined using the same asymptotic analysis method. The analyzed results are compared to the simulated ones. It can be concluded that the analyzed results predict very well the points where the probability is high, near to one. These are typically the points that the system designers like to know.
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