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On the distribution function of the spread-spectrum code acquisition time

机译:扩频码获取时间的分布函数

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By using the direct approach to the analysis of the serial-search spread-spectrum code acquisition, the author presents the approximate analysis of the cumulative probability density function (CDF) of the acquisition time. This approach is based on the binomial approximation to the distribution of the partial acquisition times, instead of the Gaussian one used previously. The binomial approximation gives very accurate results but, more importantly, it shows that the analysis of the arbitrary detection/verification scheme can be reduced to the much simpler analysis of the equivalent single-dwell system, whose parameters depend only on the mean test times and not on their distribution. Based on the exact results, simple closed-form approximations are derived for the CDF in the case of the straight-line serial search with uniform a priori distribution, which might be useful in practice.
机译:通过使用直接方法来分析串行搜索扩频代码获取,作者提出了获取时间的累积概率密度函数(CDF)的近似分析。这种方法是基于对部分采集时间分布的二项式近似,而不是先前使用的高斯方法。二项式逼近给出了非常准确的结果,但更重要的是,它表明对任意检测/验证方案的分析可以简化为等效单居系统的简单得多的分析,等效单居系统的参数仅取决于平均测试时间和而不是他们的分布。根据精确的结果,在先验分布均匀的直线串行搜索情况下,可以得出CDF的简单闭式近似值,这在实践中可能很有用。

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