TDOA-based localization with NLOS mitigation via robust model transformation and neurodynamic optimization

Research output: Journal Publications and Reviews (RGC: 21, 22, 62)21_Publication in refereed journalpeer-review

4 Scopus Citations
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Author(s)

  • Wenxin Xiong
  • Christian Schindelhauer
  • Joan Bordoy
  • Andrea Gabbrielli
  • Junli Liang

Related Research Unit(s)

Detail(s)

Original languageEnglish
Article number107774
Journal / PublicationSignal Processing
Volume178
Online published26 Aug 2020
Publication statusPublished - Jan 2021

Abstract

This paper revisits the problem of locating a signal-emitting source from time-difference-of-arrival (TDOA) measurements under non-line-of-sight (NLOS) propagation. Many currently fashionable methods for NLOS mitigation in TDOA-based localization tend to solve their optimization problems by means of convex relaxation and, thus, are computationally inefficient. Besides, previous studies show that manipulating directly on the TDOA metric usually gives rise to intricate estimators. Aiming at bypassing these challenges, we turn to retrieve the underlying time-of-arrival framework by treating the unknown source onset time as an optimization variable and imposing certain inequality constraints on it, mitigate the NLOS errors through the ℓ1-norm robustification, and finally apply a hardware realizable neurodynamic model based on the redefined augmented Lagrangian and projection theorem to solve the resultant nonconvex optimization problem with inequality constraints. It is validated through extensive simulations that the proposed scheme can strike a nice balance between localization accuracy, computational complexity, and prior knowledge requirement.

Research Area(s)

  • Neural network, Non-line-of-sight, Nonconvex optimization, Robust model transformation, Source localization, Time-difference-of-arrival

Citation Format(s)

TDOA-based localization with NLOS mitigation via robust model transformation and neurodynamic optimization. / Xiong, Wenxin; Schindelhauer, Christian; So, Hing Cheung; Bordoy, Joan; Gabbrielli, Andrea; Liang, Junli.

In: Signal Processing, Vol. 178, 107774, 01.2021.

Research output: Journal Publications and Reviews (RGC: 21, 22, 62)21_Publication in refereed journalpeer-review