Hybrid TW-TOA/TDOA positioning algorithms for cooperative wireless networks
IEEE International Conference on Communications
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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.
wireless sensor networks
Closed form solutions
Cooperative wireless networks
Cramer Rao lower bound
Maximum likelihood estimator
Maximum likelihood estimation
Wireless sensor networks
Permalink (Please cite this version)http://hdl.handle.net/11693/28355
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