Performance analysis of maximum likelihood blind spreading factor detection using FOSSIL

L. Tsaur, D.C. Lee
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Abstract

We describe and propose the usage of a new codeword set to achieve the symbol rate (or spreading factor) adaptation in a CDMA communication network. Then we analyze the performance of a symbol-by-symbol, non-coherent, maximum-likelihood, blind spreading factor detector. The probability of false detection, which is also referred as the detection error rate (DER) in other studies, is analyzed for a multi-rate CDMA communication link with AWGN. The analysis shows that when the SNR is greater than 17 dB, the probability of false detection is around 10/sup -6/.
基于FOSSIL的最大似然盲扩展因子检测性能分析
在CDMA通信网络中,我们描述并提出了一种新的码字集来实现符号速率(或扩频因子)的自适应。然后分析了一种逐符号、非相干、最大似然、盲扩频因子检测器的性能。本文分析了带AWGN的多速率CDMA通信链路的误检测概率,也称为检测错误率(DER)。分析表明,当信噪比大于17 dB时,误检概率在10/sup -6/左右。
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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