Robust Self-calibration of Constant Offset Time-difference-of-arrival

Research output: Chapter in Book/Report/Conference proceedingPaper in conference proceeding

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.

Details

Authors
Organisations
External organisations
  • Max-Planck Institute for Ornithology
  • ETH Zürich
Research areas and keywords

Subject classification (UKÄ) – MANDATORY

  • Computational Mathematics
  • Signal Processing

Keywords

  • Constant Offset, Minimal Problem, RANSAC, Time-difference-of-arrival
Original languageEnglish
Title of host publication2019 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2019 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages4410-4414
Number of pages5
Volume2019-May
ISBN (Electronic)9781479981311
Publication statusPublished - 2019 May
Publication categoryResearch
Peer-reviewedYes
Event44th IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2019 - Brighton, United Kingdom
Duration: 2019 May 122019 May 17

Conference

Conference44th IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2019
CountryUnited Kingdom
CityBrighton
Period2019/05/122019/05/17