Improved position estimation using hybrid TW-TOA and TDOA in cooperative networks
Author
Gholami, M. R.
Gezici, Sinan
Ström, E. G.
Date
2012-04-13Source Title
IEEE Transactions on Signal Processing
Print ISSN
1053-587X
Publisher
Institute of Electrical and Electronics Engineers
Volume
60
Issue
7
Pages
3770 - 3785
Language
English
Type
ArticleItem Usage Stats
218
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163
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Abstract
This paper addresses the problem of positioning multiple target nodes in a cooperative wireless sensor network in the presence of unknown turn-around times. In this type of cooperative networks, two different reference sensors, namely, primary and secondary nodes, measure two-way time-of-arrival (TW-TOA) and time-difference-of-arrival (TDOA), respectively. Motivated by the role of secondary nodes, we extend the role of target nodes such that they can be considered as pseudo secondary nodes. By modeling turn-around times as nuisance parameters, we derive a maximum likelihood estimator (MLE) that poses a difficult global optimization problem due to its nonconvex objective function. To avoid drawbacks in solving the MLE, we linearize the measurements using two different techniques, namely, nonlinear processing and first-order Taylor series, and obtain linear models based on unknown parameters. The proposed linear estimator is implemented in three steps. In the first step, a coarse position estimate is obtained for each target node, and it is refined through steps two and three. To evaluate the performance of different methods, we derive the Cramér-Rao lower bound (CRLB). Simulation results show that the cooperation technique provides considerable improvements in positioning accuracy compared to the noncooperative scenario, especially for low signal-to-noise-ratios.
Keywords
Cooperative positioningCramér-Rao lower bound (CRLB)
Linear estimator
Maximum-likelihood estimator (MLE)
Time-difference-of-arrival (TDOA)
Time-of-arrival (TOA)
Two-way time-of-arrival (TW-TOA)
Wireless sensor network
Cooperative positioning
Linear estimators
Lower bounds
Maximum-likelihood estimator (MLE)
Time-difference-of-arrival
Time-of-arrival
Maximum likelihood estimation
Wireless sensor networks
Sensor nodes
Permalink
http://hdl.handle.net/11693/21409Published Version (Please cite this version)
http://dx.doi.org/10.1109/TSP.2012.2194705Collections
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