A Complete Characterization and Solution to the Microphone Position Self-Calibration Problem

Forskningsoutput: Kapitel i bok/rapport/Conference proceedingKonferenspaper i proceeding

Abstract

This paper presents a complete characterization and solution to microphone position self-calibration problem for time-of-arrival (TOA) measurements. This is the problem of determining the positions of receivers and transmitters given all receiver-transmitter distances. Such calibration problems arise in application such as calibration of radio antenna networks, audio or ultra-sound arrays and WiFi transmitter arrays. We show for what cases such calibration problems are well-defined and derive efficient and numerically stable algorithms for the minimal TOA calibration problems. The proposed algorithms are non-iterative and require no assumptions on the sensor positions. Experiments on synthetic data show that the proposed minimal solvers are numerically stable and perform well on noisy data. The solvers are also tested on two real datasets with good results.

Detaljer

Författare
Enheter & grupper
Forskningsområden

Ämnesklassifikation (UKÄ) – OBLIGATORISK

  • Datorseende och robotik (autonoma system)
  • Matematik

Nyckelord

Originalspråkengelska
Titel på värdpublikationA
FörlagIEEE - Institute of Electrical and Electronics Engineers Inc.
Sidor3875-3879
StatusPublished - 2013
PublikationskategoriForskning
Peer review utfördJa
EvenemangThe 38th International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2013) - Vancouver, Kanada
Varaktighet: 2013 maj 262013 maj 31

Publikationsserier

Namn
ISSN (tryckt)1520-6149

Konferens

KonferensThe 38th International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2013)
LandKanada
OrtVancouver
Period2013/05/262013/05/31