@inproceedings{b40a69b179654fa381a47099774ff28b,
title = "Sensor node calibration in presence of a dominant reflective plane",
abstract = "Recent advances in simultaneous estimation of both receiver and sender positions in ad-hoc sensor networks have made it possible to automatically calibrate node positions - a prerequisite for many applications. In man-made environments there are often large planar reflective surfaces that give significant reverberations. In this paper, we study geometric problems of receiver-sender node calibration in the presence of such reflective planes. We establish a rank-1 factorization problem that can be used to simplify the estimation. We also show how to estimate offsets, in the Time difference of arrival case, using only the rank constraint. Finally, we present a new solver for the minimal cases of sender-receiver position estimation. These contributions result in a powerful stratified approach for the node calibration problem, given a reflective plane. The methods are verified with both synthetic and real data.",
keywords = "minimal problems, reverberations, self-calibration, TDOA, TOA",
author = "Erik Tegler and Martin Larsson and Magnus Oskarsson and Kalle {\AA}str{\"o}m",
year = "2022",
language = "English",
series = "European Signal Processing Conference",
publisher = "European Signal Processing Conference, EUSIPCO",
pages = "1941--1945",
booktitle = "30th European Signal Processing Conference, EUSIPCO 2022 - Proceedings",
note = "30th European Signal Processing Conference, EUSIPCO 2022 ; Conference date: 29-08-2022 Through 02-09-2022",
}