Quantizer Design Optimized for Distributed Estimation
Summary :
We consider the problem of optimizing the quantizer design for distributed estimation systems where all nodes located at different sites collect measurements and transmit quantized data to a fusion node, which then produces an estimate of the parameter of interest. For this problem, the goal is to minimize the amount of information that the nodes have to transmit in order to attain a certain application accuracy. We propose an iterative quantizer design algorithm that seeks to find a non-regular mapping between quantization partitions and their codewords so as to minimize global distortion such as the estimation error. We apply the proposed algorithm to a system where an acoustic amplitude sensor model is employed at each node for source localization. Our experiments demonstrate that a significant performance gain can be achieved by our technique as compared with standard typical designs and even with distributed novel designs recently published.
- Publication
- IEICE TRANSACTIONS on Information Vol.E97-D No.6 pp.1639-1643
- Publication Date
- 2014/06/01
- Publicized
- Online ISSN
- 1745-1361
- DOI
- 10.1587/transinf.E97.D.1639
- Type of Manuscript
- LETTER
- Category
- Fundamentals of Information Systems
Authors
Yoon Hak KIM
Chosun University
Keyword
Latest Issue
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Yoon Hak KIM, "Quantizer Design Optimized for Distributed Estimation" in IEICE TRANSACTIONS on Information,
vol. E97-D, no. 6, pp. 1639-1643, June 2014, doi: 10.1587/transinf.E97.D.1639.
Abstract: We consider the problem of optimizing the quantizer design for distributed estimation systems where all nodes located at different sites collect measurements and transmit quantized data to a fusion node, which then produces an estimate of the parameter of interest. For this problem, the goal is to minimize the amount of information that the nodes have to transmit in order to attain a certain application accuracy. We propose an iterative quantizer design algorithm that seeks to find a non-regular mapping between quantization partitions and their codewords so as to minimize global distortion such as the estimation error. We apply the proposed algorithm to a system where an acoustic amplitude sensor model is employed at each node for source localization. Our experiments demonstrate that a significant performance gain can be achieved by our technique as compared with standard typical designs and even with distributed novel designs recently published.
URL: https://global.ieice.org/en_transactions/information/10.1587/transinf.E97.D.1639/_p
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@ARTICLE{e97-d_6_1639,
author={Yoon Hak KIM, },
journal={IEICE TRANSACTIONS on Information},
title={Quantizer Design Optimized for Distributed Estimation},
year={2014},
volume={E97-D},
number={6},
pages={1639-1643},
abstract={We consider the problem of optimizing the quantizer design for distributed estimation systems where all nodes located at different sites collect measurements and transmit quantized data to a fusion node, which then produces an estimate of the parameter of interest. For this problem, the goal is to minimize the amount of information that the nodes have to transmit in order to attain a certain application accuracy. We propose an iterative quantizer design algorithm that seeks to find a non-regular mapping between quantization partitions and their codewords so as to minimize global distortion such as the estimation error. We apply the proposed algorithm to a system where an acoustic amplitude sensor model is employed at each node for source localization. Our experiments demonstrate that a significant performance gain can be achieved by our technique as compared with standard typical designs and even with distributed novel designs recently published.},
keywords={},
doi={10.1587/transinf.E97.D.1639},
ISSN={1745-1361},
month={June},}
Copy
TY - JOUR
TI - Quantizer Design Optimized for Distributed Estimation
T2 - IEICE TRANSACTIONS on Information
SP - 1639
EP - 1643
AU - Yoon Hak KIM
PY - 2014
DO - 10.1587/transinf.E97.D.1639
JO - IEICE TRANSACTIONS on Information
SN - 1745-1361
VL - E97-D
IS - 6
JA - IEICE TRANSACTIONS on Information
Y1 - June 2014
AB - We consider the problem of optimizing the quantizer design for distributed estimation systems where all nodes located at different sites collect measurements and transmit quantized data to a fusion node, which then produces an estimate of the parameter of interest. For this problem, the goal is to minimize the amount of information that the nodes have to transmit in order to attain a certain application accuracy. We propose an iterative quantizer design algorithm that seeks to find a non-regular mapping between quantization partitions and their codewords so as to minimize global distortion such as the estimation error. We apply the proposed algorithm to a system where an acoustic amplitude sensor model is employed at each node for source localization. Our experiments demonstrate that a significant performance gain can be achieved by our technique as compared with standard typical designs and even with distributed novel designs recently published.
ER -
English
