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
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: |
|
| 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 |
Repository Staff Only(login required)
 |
Item control page |
Downloads per month over past year
Origin of downloads
Altmetric
Altmetric