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On the Asymptotic Efficiency of Distributed Estimation Systems With Constant Modulus Signals Over Multiple-Access Channels

机译:多访问信道上具有恒定模信号的分布式估计系统的渐近效率

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A distributed estimation problem is considered with multiple-access channels between sensors and a fusion center. The sensors phase-modulate their noisy observations before transmitting them to the fusion center, where a signal parameter is estimated. The asymptotic efficiency of this estimator is then determined by using two inequalities that relate the Fisher information and the characteristic function. A necessary and sufficient condition for equality is found for the first time in the literature. The loss in efficiency of the distributed estimation scheme relative to the centralized approach is quantified for different sensing noise distributions. It is shown that this distributed estimation system does not incur an efficiency loss if and only if the sensing noise distribution is Gaussian.
机译:考虑传感器和融合中心之间的多路访问信道的分布式估计问题。传感器将其嘈杂的观测信号进行相位调制,然后再将其传输到融合中心,在该中心估计信号参数。然后,通过使用两个将Fisher信息和特征函数相关的不等式来确定此估计器的渐近效率。文献中首次发现了平等的必要和充分条件。对于不同的感测噪声分布,量化了相对于集中式方法的分布式估计方案的效率损失。结果表明,当且仅当感测噪声分布为高斯分布时,该分布式估计系统才不会引起效率损失。

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