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Localization of Mobile Nodes in Wireless Networks with Correlated in Time Measurement Noise
January 2011 (vol. 10 no. 1)
pp. 44-53
ASCII Text
x 
 
Lyudmila Mihaylova, Donka Angelova, David R. Bull, Nishan Canagarajah, "Localization of Mobile Nodes in Wireless Networks with Correlated in Time Measurement Noise," IEEE Transactions on Mobile Computing, vol. 10, no. 1, pp. 44-53, January, 2011.
 
 
BibTex
x
 
@article{ 10.1109/TMC.2010.132,
author = {Lyudmila Mihaylova and Donka Angelova and David R. Bull and Nishan Canagarajah},
title = {Localization of Mobile Nodes in Wireless Networks with Correlated in Time Measurement Noise},
journal ={IEEE Transactions on Mobile Computing},
volume = {10},
number = {1},
issn = {1536-1233},
year = {2011},
pages = {44-53},
doi = {http://doi.ieeecomputersociety.org/10.1109/TMC.2010.132},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
x 
 
TY - JOUR
JO - IEEE Transactions on Mobile Computing
TI - Localization of Mobile Nodes in Wireless Networks with Correlated in Time Measurement Noise
IS - 1
SN - 1536-1233
SP44
EP53
EPD - 44-53
A1 - Lyudmila Mihaylova,
A1 - Donka Angelova,
A1 - David R. Bull,
A1 - Nishan Canagarajah,
PY - 2011
KW - Wireless networks
KW - auxiliary particle filtering
KW - localization
KW - correlated measurement noises
KW - multiple model estimation
KW - auxiliary particle filtering.
VL - 10
JA - IEEE Transactions on Mobile Computing
ER -
 
Lyudmila Mihaylova, Lancaster University, Lancaster, UK
Donka Angelova, Bulgarian Academy of Sciences, Bulgaria
David R. Bull, University of Bristol, Bristol, UK
Nishan Canagarajah, University of Bristol, Bristol, UK
Wireless sensor networks are an inherent part of decision making, object tracking, and location awareness systems. This work is focused on simultaneous localization of mobile nodes based on received signal strength indicators (RSSIs) with correlated in time measurement noises. Two approaches to deal with the correlated measurement noises are proposed in the framework of auxiliary particle filtering: with a noise augmented state vector and the second approach implements noise decorrelation. The performance of the two proposed multimodel auxiliary particle filters (MM AUX-PFs) is validated over simulated and real RSSIs and high localization accuracy is demonstrated.

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Index Terms:
Wireless networks, auxiliary particle filtering, localization, correlated measurement noises, multiple model estimation, auxiliary particle filtering.
Citation:
Lyudmila Mihaylova, Donka Angelova, David R. Bull, Nishan Canagarajah, "Localization of Mobile Nodes in Wireless Networks with Correlated in Time Measurement Noise," IEEE Transactions on Mobile Computing, vol. 10, no. 1, pp. 44-53, Jan. 2011, doi:10.1109/TMC.2010.132
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