Huang, Minyi and Dey, Subhrakanti (2007) Dynamic quantization for multisensor estimation over bandlimited fading channels with fusion center feedback. IEEE Transactions on Signal Processing, 55 (9). pp. 4696-4702. ISSN 1053-587X

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Abstract

This paper considers the state estimation of hidden Markov models(HMMs) in a network of sensors which communicate with the fusion center viafinite symbols by fading channels. The objective is to minimize the long term meansquare estimation error for the underlying Markov chain. By using feedback fromthe fusion center, a dynamic quantization scheme for the sensor nodes is proposedand analyzed by a Markov decision approach. The performance improvement byfeedback, as well as the effect of fading, is illustrated.

Item Type:	Article
Keywords:	Dynamic quantization; multisensor estimation; bandlimited; fading channels; fusion center feedback;
Academic Unit:	Faculty of Science and Engineering > Electronic Engineering
Item ID:	12725
Identification Number:	https://doi.org/10.1109/TSP.2007.896277
Depositing User:	Subhrakanti Dey
Date Deposited:	09 Apr 2020 10:06
Journal or Publication Title:	IEEE Transactions on Signal Processing
Publisher:	Institute of Electrical and Electronics Engineers
Refereed:	Yes
URI:	Publisher
Use Licence:	This item is available under a Creative Commons Attribution Non Commercial Share Alike Licence (CC BY-NC-SA). Details of this licence are available here

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