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    Dynamic Quantizer Design for Hidden Markov State Estimation Via Multiple Sensors With Fusion Center Feedback


    Huang, Minyi and Dey, Subhrakanti (2006) Dynamic Quantizer Design for Hidden Markov State Estimation Via Multiple Sensors With Fusion Center Feedback. IEEE Transactions on Signal Processing, 54 (8). pp. 2887-2896. ISSN 1053-587X

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    Abstract

    This paper considers the state estimation of hidden Markov models by sensor networks. The objective is to minimize the long term average of the mean square estimation error for the underlying finite state Markov chain. By employing feedback from the fusion center, a dynamic quantization scheme for the sensor nodes is proposed and analyzed by a stochastic control approach. Dynamic rate allocation is also considered when the sensor nodes generate mode dependent measurements

    Item Type: Article
    Keywords: Dynamic Quantizer Design; Hidden Markov; State Estimation; Multiple Sensors; Fusion Center Feedback;
    Academic Unit: Faculty of Science and Engineering > Electronic Engineering
    Item ID: 12726
    Identification Number: https://doi.org/10.1109/TSP.2006.874809
    Depositing User: Subhrakanti Dey
    Date Deposited: 09 Apr 2020 10:07
    Journal or Publication Title: IEEE Transactions on Signal Processing
    Publisher: Institute of Electrical and Electronics Engineers
    Refereed: Yes
    URI:

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