Robust Self-calibration of Constant Offset Time-difference-of-arrival
Kenneth Batstone, Gabrielle Flood, Thejasvi Beleyur, Viktor Larsson, Holger R. Goerlitz, Magnus Oskarsson, Kalle Åström
Abstract
In this paper we study the problem of estimating receiver and sender positions from time-difference-of-arrival measurements, assuming an unknown constant time-difference-of-arrival offset. This problem is relevant for example for repetitive sound events. In this paper it is shown that there are three minimal cases to the problem. One of these (the five receiver, five sender problem) is of particular importance. A fast solver (with run-time under 4 µs) is given. We show how this solver can be used in robust estimation algorithms, based on RANSAC, for obtaining an initial estimate followed by local optimization using a robust error norm. The system is verified on both real and synthetic data.
BibTeX
@inproceedings{icassp2019_robustselfcalibr,
title = {Robust Self-calibration of Constant Offset Time-difference-of-arrival},
author = {Kenneth Batstone and Gabrielle Flood and Thejasvi Beleyur and Viktor Larsson and Holger R. Goerlitz and Magnus Oskarsson and Kalle Åström},
booktitle = {ICASSP 2019},
year = {2019}
}