芯片异步DS/SS系统中PN序列的串行采集

R.A. Korkosz, D. Sarwate
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引用次数: 4

摘要

问题是获得未知延迟/spl delta/=(k+/spl epsiv/)T/sub c/的估计,其中k为整数,/spl epsiv//spl isin/[0,1], T/sub c/为芯片时间持续时间。本文着重于使用顺序概率比检验(sprt)估计k,关于/spl epsi/估计的详细信息将单独发表。对非相假设产生的PN序列建立了随机序列模型,并推导出不依赖于/spl epsi/的SPRT。将误差概率和期望样本量与SPRT依赖于/spl epsi/的理想情况和SPRT基于非相位假设的零序列模型的情况下获得的结果进行比较。这些比较是在两种情况下进行的,其中观察是随机序列,或实际的PN序列,将在实践中使用。分析和数值结果表明,基于随机序列模型的SPRT具有与/spl epsi/的未知值无关的优异性能,显著优于基于零序列模型的SPRT。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Serial acquisition of PN sequences in chip-asynchronous DS/SS systems
The problem is to obtain an estimate of the unknown delay /spl delta/=(k+/spl epsiv/)T/sub c/, where k is an integer, /spl epsiv//spl isin/[0,1], and T/sub c/ is the chip time duration. This paper concentrates on the estimation of k using sequential probability ratio tests (SPRTs), details on the estimation of /spl epsi/ being published separately. It assumes a random sequence model for the PN sequences arising in the out-of-phase hypothesis, and derives an SPRT which does not depend on /spl epsi/. The error probabilities and expected sample sizes are compared with those obtained in both ideal case where the SPRT depends on /spl epsi/, and in the case where the SPRT is based on a zero sequence model for the out-of-phase hypothesis. These comparisons are made in both of the situations where the observations are random sequences, or actual PN sequences as would be used in practice. The analytical and numerical results indicate that the SPRT based on the random sequence model yields excellent performance independent of the unknown value of /spl epsi/, and significantly outperforms the SPRT based on the zero sequence model.<>
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