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3D WLS hybrid and non hybrid localization using TOA, TDOA, azimuth and elevation

Author

Listed:
  • Nadhir Ben Halima

    (Taibah University)

  • Hatem Boujemâa

    (Higher School of Communications of Tunis)

Abstract

In this paper, we propose a Three Dimensional (3D) Weighted Least Square (WLS) estimation of mobile position using Time Of Arrival (TOA), Time Difference Of Arrival (TDOA), Direction of Arrival (DOA) given by azimuth and elevation measurement. We present both hybrid and non hybrid localization techniques. Hybrid localization techniques use a combination of TOA, TDOA and DOA whereas non hybrid localization use only TOA or TDOA or DOA measurement. This is the first paper to tackle the problem of 3D hybrid localization using TOA, TDOA, azimuth and elevation. We also present a theoretical performance analysis of the hybrid localization technique where the covariance matrix of the WLS estimator is derived in closed form expression. The theoretical derivation is valid for any distribution of the observation noise. We show that the WLS estimator is unbiased and equivalent to the Maximum Likelihood estimator when the observation noise is Gaussian. We also optimize the localization accuracy by optimizing the base station location in order to minimize the Mean Square Error. Base station location optimization to enhance localization accuracy has not been yet proposed.

Suggested Citation

  • Nadhir Ben Halima & Hatem Boujemâa, 2019. "3D WLS hybrid and non hybrid localization using TOA, TDOA, azimuth and elevation," Telecommunication Systems: Modelling, Analysis, Design and Management, Springer, vol. 70(1), pages 97-104, January.
    • Handle: RePEc:spr:telsys:v:70:y:2019:i:1:d:10.1007_s11235-018-0468-7
    DOI: 10.1007/s11235-018-0468-7
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    Cited by:

    1. Narathep Phruksahiran, 2023. "Improvement of source localization via cellular network using machine learning approach," Telecommunication Systems: Modelling, Analysis, Design and Management, Springer, vol. 82(2), pages 291-299, February.

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