Sensor Networks Tdoa Self-Calibration : 2d Complexity Analysis and Solutions
Ferranti, Luca; Åström, Kalle; Oskarsson, Magnus; Boutellier, Jani, et al. (2021). Sensor Networks Tdoa Self-Calibration : 2d Complexity Analysis and Solutions ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings, 2021-June,, 4635 - 4639. IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2021. Toronto, Canada
Conference Proceeding/Paper
|
Published
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English
Authors:
Ferranti, Luca
;
Åström, Kalle
;
Oskarsson, Magnus
;
Boutellier, Jani
, et al.
Department:
ELLIIT: the Linköping-Lund initiative on IT and mobile communication
eSSENCE: The e-Science Collaboration
Mathematical Imaging Group
Research Group:
Mathematical Imaging Group
Abstract:
Given a network of receivers and transmitters, the process of determining their positions from measured pseudoranges is known as network self-calibration. In this paper we consider 2D networks with synchronized receivers but unsynchronized transmitters and the corresponding calibration techniques, known as Time-Difference-Of-Arrival (TDOA) techniques. Despite previous work, TDOA self-calibration is computationally challenging. Iterative algorithms are very sensitive to the initialization, causing convergence issues. In this paper, we present a novel approach, which gives an algebraic solution to two previously unsolved scenarios. We also demonstrate that our solvers produce an excellent initial value for non-linear optimisation algorithms, leading to a full pipeline robust to noise.
Keywords:
Minimal problems ;
Sensor networks calibration ;
Time difference of arrival
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