Stratified Sensor Network Self-Calibration From TDOA Measurements
(2013) 21st European Signal Processing Conference (EUSIPCO 2013)- 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... (More)
- 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. (Less)
Please use this url to cite or link to this publication:
https://lup.lub.lu.se/record/4249662
- author
- Kuang, Yubin LU and Åström, Karl LU
- organization
- publishing date
- 2013
- type
- Chapter in Book/Report/Conference proceeding
- publication status
- published
- subject
- keywords
- Network Self-calibration, TDOA, TOA, Minimal Problem
- host publication
- [Host publication title missing]
- pages
- 5 pages
- publisher
- IEEE - Institute of Electrical and Electronics Engineers Inc.
- conference name
- 21st European Signal Processing Conference (EUSIPCO 2013)
- conference location
- Marrakech, Morocco
- conference dates
- 2013-09-09 - 2013-09-13
- external identifiers
-
- wos:000341754500180
- scopus:84901369452
- language
- English
- LU publication?
- yes
- id
- 39383100-0cb6-4d79-88c4-70971301d957 (old id 4249662)
- date added to LUP
- 2016-04-04 11:23:35
- date last changed
- 2022-03-15 23:10:00
@inproceedings{39383100-0cb6-4d79-88c4-70971301d957, 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.}}, author = {{Kuang, Yubin and Åström, Karl}}, booktitle = {{[Host publication title missing]}}, keywords = {{Network Self-calibration; TDOA; TOA; Minimal Problem}}, language = {{eng}}, publisher = {{IEEE - Institute of Electrical and Electronics Engineers Inc.}}, title = {{Stratified Sensor Network Self-Calibration From TDOA Measurements}}, url = {{https://lup.lub.lu.se/search/files/5763187/4249663.pdf}}, year = {{2013}}, }