Hybrid TW-TOA/TDOA positioning algorithms for cooperative wireless networks
Date
2011Source Title
2011 IEEE International Conference on Communications (ICC)
Print ISSN
0536-1486
Publisher
IEEE
Language
English
Type
Conference PaperItem Usage Stats
146
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238
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Abstract
The problem of positioning an unknown target is studied for a cooperative wireless sensor network using hybrid two-way time-of-arrival and time-difference-of-arrival measurements. A maximum likelihood estimator (MLE) can be employed to solve the problem. Due to the non-linear nature of the cost function in the MLE, a numerical method, e.g., an iterative search algorithm with a good initial point, should be taken to accurately estimate the target. To avoid drawbacks in a numerical method, we instead linearize the measurements and obtain a new two-step estimator that has a closed-form solution in each step. Simulation results confirm that the proposed linear estimator can attain Cramer-Rao lower bound for sufficiently high SNR. © 2011 IEEE.
Keywords
Cooperative positioninglinear estimator
wireless sensor networks
Closed form solutions
Cooperative positioning
Cooperative wireless networks
Cramer Rao lower bound
High SNR
Initial point
Linear estimators
Maximum likelihood estimator
Non-linear
Positioning algorithms
Search Algorithms
Simulation result
Time-difference-of-arrival
Time-of-arrival
Wireless sensor
Algorithms
Cramer-Rao bounds
Estimation
Maximum likelihood estimation
Numerical methods
Sensors
Wireless sensor networks
Permalink
http://hdl.handle.net/11693/28355Published Version (Please cite this version)
http://dx.doi.org/10.1109/icc.2011.5962647Collections
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