Stratified Sensor Network Self-Calibration From TDOA Measurements

Yubin Kuang, Karl Åström

Forskningsoutput: Kapitel i bok/rapport/Conference proceedingKonferenspaper i proceedingPeer review

5 Nedladdningar (Pure)

Sammanfattning

This paper presents a study of the sensor network calibration time-difference-of-arrival (TDOA) measurements. Such calibration arise in several applications such as calibration of (acoustic or ultrasound) microphone arrays, bluetooth arrays, and radio antenna networks. We propose a non-iterative algorithm that apply a three-step stratification process, (i) using a set of rank constraints to determine the unknown offsets, (ii) applying factorization techniques to determine transmitters and receivers up to unknown affine transformation and (iii) determining the affine stratification using the remaining constraints. This results in novel algorithms for direct recovery of both transmitter and receiver positions using time-difference-of-arrival measurements, down to 6 receivers and 8 transmitters. Experiments are shown both for simulated and real data with promising results.
Originalspråkengelska
Titel på värdpublikation[Host publication title missing]
FörlagIEEE - Institute of Electrical and Electronics Engineers Inc.
Antal sidor5
StatusPublished - 2013
Evenemang21st European Signal Processing Conference (EUSIPCO 2013) - Marrakech, Marocko, Marrakech, Marocko
Varaktighet: 2013 sep. 92013 sep. 13

Konferens

Konferens21st European Signal Processing Conference (EUSIPCO 2013)
Land/TerritoriumMarocko
OrtMarrakech
Period2013/09/092013/09/13

Ämnesklassifikation (UKÄ)

  • Matematik

Fingeravtryck

Utforska forskningsämnen för ”Stratified Sensor Network Self-Calibration From TDOA Measurements”. Tillsammans bildar de ett unikt fingeravtryck.

Citera det här