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      • Department of Electrical and Electronics Engineering
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      Hybrid TW-TOA/TDOA positioning algorithms for cooperative wireless networks

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      Author(s)
      Gholami, M.R.
      Gezici, Sinan
      Ström, E.G.
      Rydström, M.
      Date
      2011
      Source Title
      2011 IEEE International Conference on Communications (ICC)
      Print ISSN
      0536-1486
      Publisher
      IEEE
      Language
      English
      Type
      Conference Paper
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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 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
      Permalink
      http://hdl.handle.net/11693/28355
      Published Version (Please cite this version)
      http://dx.doi.org/10.1109/icc.2011.5962647
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      • Department of Electrical and Electronics Engineering 3702
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