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Distributed set-valued estimation in sensor networks with limited communication data rate

机译：通信数据速率受限的传感器网络中的分布式集值估计

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摘要

This paper is concerned with a distributed set-valued estimation problem in noisy sensor networks with limited communication data rate. The sensors iterate a sample-quantize-exchange process: firstly, the sensors synchronously take noisy measurements of the plant; secondly, owing to the communication channel constraint, each sensor makes the manipulation of quantization on its measurement, estimate and performance bound by using a static logarithmic quantizer; thirdly, the quantized information is exchanged among the neighbors. By assuming hard bounds on the process noises and measurement noises, a distributed set-valued estimation strategy is proposed for each sensor to generate a set of estimates in state space which contains the true state of the plant. A sufficient condition for the existence of the distributed set-valued estimators is derived, and the estimator parameters are determined by solving a convex optimization problem. Two illustrative examples are provided to demonstrate the effectiveness of the proposed theoretical results.
机译：本文关注通信数据速率受限的噪声传感器网络中的分布式集值估计问题。传感器重复进行样品定量交换过程：首先，传感器同步地对工厂进行嘈杂的测量；其次，由于通信信道的限制，每个传感器通过使用静态对数量化器对其测量，估计和性能范围进行量化操作。第三，量化信息在邻居之间交换。通过假定过程噪声和测量噪声的硬性界限，为每个传感器提出了一种分布式设定值估计策略，以在状态空间中生成一组估计值，其中包含工厂的真实状态。得出存在分布集值估计器的充分条件，并通过解决凸优化问题来确定估计器参数。提供了两个说明性的例子来证明所提出的理论结果的有效性。

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  • 来源
    《Journal of the Franklin Institute》 |2013年第5期|1264-1283|共20页
  • 作者

    Haiyu Song; Li Yu; Dan Zhang;

  • 作者单位

    College of Information Engineering,Zhejiang University of Technology, and the Zhejiany Provincial United Key Laboratory of Embedded Systems, Hangzhou 310023, PR China;

    College of Information Engineering,Zhejiang University of Technology, and the Zhejiany Provincial United Key Laboratory of Embedded Systems, Hangzhou 310023, PR China;

    College of Information Engineering,Zhejiang University of Technology, and the Zhejiany Provincial United Key Laboratory of Embedded Systems, Hangzhou 310023, PR China;

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