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An efficient estimator for tdoa-based source localization with minimum number of sensors

Amiri, R ; Sharif University of Technology | 2018

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  1. Type of Document: Article
  2. DOI: 10.1109/LCOMM.2018.2876525
  3. Publisher: Institute of Electrical and Electronics Engineers Inc , 2018
  4. Abstract:
  5. In this letter, the problem of source localization using time difference of arrival (TDOA) is investigated. Then, a closedform two-stage solution is proposed based on estimation of the range nuisance parameter in the first stage and refinement of initial solution in the next stage. The proposed solution is shown analytically and verified by simulations to be an efficient estimate, which can attain the CRLB performance under mild Gaussian noise assumption. This method is able to locate the source with the minimum number of sensors required for N-dimensional localization. Numerical simulations demonstrate significant performance improvement of the proposed method compared with the state-of-the-art algorithms and corroborate the theoretical developments. IEEE
  6. Keywords:
  7. Cramer-rao lower bound (CRLB) ; Mathematical model ; Weighted least squares (WLS) ; Covariance matrix ; Cramer-Rao bounds ; Estimation ; Gaussian noise (electronic) ; Mathematical models ; Numerical methods ; Position measurement ; Sensors ; Time of arrival ; Covariance matrices ; Noise measurements ; Source localization ; Time difference of arrival (TDOA)
  8. Source: IEEE Communications Letters ; 2018 ; 10897798 (ISSN)
  9. URL: https://ieeexplore.ieee.org/document/8494707