Stratified Sensor Network Self-Calibration From TDOA Measurements

Kuang, Yubin; Åström, Karl (2013). Stratified Sensor Network Self-Calibration From TDOA Measurements . 21st European Signal Processing Conference (EUSIPCO 2013). Marrakech, Morocco: IEEE--Institute of Electrical and Electronics Engineers Inc.
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Conference Proceeding/Paper | Published | English
Authors:
Kuang, Yubin ; Åström, Karl
Department:
Mathematics (Faculty of Engineering)
Centre for Mathematical Sciences
Algebra
Mathematical Imaging Group
ELLIIT: the Linköping-Lund initiative on IT and mobile communication
eSSENCE: The e-Science Collaboration
Research Group:
Algebra
Mathematical Imaging Group
Abstract:
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.
Keywords:
Network Self-calibration ; TDOA ; TOA ; Minimal Problem
LUP-ID:
39383100-0cb6-4d79-88c4-70971301d957 | Link: https://lup.lub.lu.se/record/39383100-0cb6-4d79-88c4-70971301d957 | Statistics

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