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On Clock Offset Estimation in Wireless Sensor Networks with Weibull Distributed Network Delays

机译:具有威布尔分布网络时延的无线传感器网络中的时钟偏移估计

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We consider the problem of Maximum Likelihood (ML) estimation of clock parameters in a two-way timing exchange scenario where the random delays assume a Weibull distribution, which represents a more generalized model. The ML estimate of the clock offset for the case of exponential distribution was obtained earlier. Moreover, it was reported that when the fixed delay is known, MLE is not unique. We determine the uniformly minimum variance unbiased (UMVU) estimators for exponential distribution under such a scenario and produce biased estimators having lower MSE than UMVU for all values of clock offset. We then consider the case when shape parameter is greater than one and reduce the corresponding optimization problems to their equivalent convex forms, thus guaranteeing convergence to a global minimum.
机译:我们考虑在双向定时交换方案中时钟参数的最大似然(ML)估计问题,其中随机延迟采用了Weibull分布,这代表了更通用的模型。较早地获得了指数分布情况下时钟偏移的ML估计。此外,据报道,当已知固定延迟时,MLE不是唯一的。我们在这种情况下确定指数分布的一致最小方差无偏(UMVU)估计量,并针对所有时钟偏移值产生具有比UMVU更低的MSE的有偏估计量。然后,我们考虑形状参数大于1的情况,并将相应的优化问题简化为等效的凸形,从而保证收敛到全局最小值。

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