Sensor Networks TDOA Self-Calibration: 2D Complexity Analysis and Solutions
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.
Cite
@article{arxiv.2005.10298,
title = {Sensor Networks TDOA Self-Calibration: 2D Complexity Analysis and Solutions},
author = {Luca Ferranti and Kalle Åström and Magnus Oskarsson and Jani Boutellier and Juho Kannala},
journal= {arXiv preprint arXiv:2005.10298},
year = {2020}
}