Hybrid TW-TOA/TDOA positioning algorithms for cooperative wireless networks
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2011
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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.
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2011 IEEE International Conference on Communications (ICC)
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IEEE
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Keywords
Cooperative positioning, linear 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
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English