摘要翻译：
协作分集系统是一种利用用户之间的协作来减轻多径衰落影响的无线通信系统。在相当一般的条件下，已经证明这些系统可以达到等效MISO信道的分集阶，并且如果节点几何形状允许，对于广泛的适用信噪比范围，几乎可以达到与等效MISO信道相同的中断概率。然而，以往的分析大多是在完全定时和频率偏移同步的假设下进行的。本文推导了协作通信系统中频偏估计的估计界和相关的最大似然估计量。我们展示了自适应地调整中继节点的频率以减少目的地估计误差的好处。我们还基于数据的相关序列推导了一种有效的估计算法，该算法的均方误差接近Cramer-Rao界。
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英文标题：
《On bounds and algorithms for frequency synchronization for collaborative
  communication systems》
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作者：
Peter A. Parker, Patrick Mitran, Daniel W. Bliss, and Vahid Tarokh
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最新提交年份：
2007
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分类信息：

一级分类：Statistics        统计学
二级分类：Applications        应用程序
分类描述：Biology, Education, Epidemiology, Engineering, Environmental Sciences, Medical, Physical Sciences, Quality Control, Social Sciences
生物学，教育学，流行病学，工程学，环境科学，医学，物理科学，质量控制，社会科学
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一级分类：Mathematics        数学
二级分类：Statistics Theory        统计理论
分类描述：Applied, computational and theoretical statistics: e.g. statistical inference, regression, time series, multivariate analysis, data analysis, Markov chain Monte Carlo, design of experiments, case studies
应用统计、计算统计和理论统计：例如统计推断、回归、时间序列、多元分析、数据分析、马尔可夫链蒙特卡罗、实验设计、案例研究
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一级分类：Statistics        统计学
二级分类：Statistics Theory        统计理论
分类描述：stat.TH is an alias for math.ST. Asymptotics, Bayesian Inference, Decision Theory, Estimation, Foundations, Inference, Testing.
Stat.Th是Math.St的别名。渐近，贝叶斯推论，决策理论，估计，基础，推论，检验。
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英文摘要：
  Cooperative diversity systems are wireless communication systems designed to exploit cooperation among users to mitigate the effects of multipath fading. In fairly general conditions, it has been shown that these systems can achieve the diversity order of an equivalent MISO channel and, if the node geometry permits, virtually the same outage probability can be achieved as that of the equivalent MISO channel for a wide range of applicable SNR. However, much of the prior analysis has been performed under the assumption of perfect timing and frequency offset synchronization. In this paper, we derive the estimation bounds and associated maximum likelihood estimators for frequency offset estimation in a cooperative communication system. We show the benefit of adaptively tuning the frequency of the relay node in order to reduce estimation error at the destination. We also derive an efficient estimation algorithm, based on the correlation sequence of the data, which has mean squared error close to the Cramer-Rao Bound.
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PDF链接：
https://arxiv.org/pdf/704.3054