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ASYMPTOTIC ANALYSIS OF DISTRIBUTED ESTIMATION OVER FADING MULTIPLE ACCESS CHANNELS

机译:渐近估计对多址通道的分布式估计的渐近分析

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We consider a distributed estimation problem where sensors transmit their observations over fading channels to a fusion center (FC), where the parameter is estimated. We calculate the variance of the estimate when we have full, partial and no channel information at the sensors. We compare these with a benchmark obtained when the channels are AWGN. We show that while having no CSI at the sensors leads to bad performance, partial CSI at the sensors is sufficient to get reliable estimates of the parameter. Comparing the performance when the sensors have partial CSI, to when the sensors have full CSI, the deterioration of the variance of the estimator in the case of partial CSI at the sensors is upper bounded by a factor of 4/π, which is about a 2dB power loss.
机译:我们考虑一个分布式估计问题,其中传感器将其观察通过衰落通道发送到融合中心(FC),其中估计参数。我们计算在传感器上有完整,部分和没有频道信息时估计的差异。我们将这些与当频道AWGN获得的基准进行比较。我们表明,在传感器上没有CSI导致性能不良,传感器处的部分CSI足以获得可靠的参数估计。比较传感器当传感器具有部分CSI的性能,在传感器具有完整的CSI时,在传感器处的部分CSI的情况下估计器的方差的劣化是由4 /π的上限为上限,这是关于a的2DB功率损耗。

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