Sensor node calibration in presence of a dominant reflective plane
(2022) 30th European Signal Processing Conference, EUSIPCO 2022 In European Signal Processing Conference 2022-August. p.1941-1945- Abstract
Recent advances in simultaneous estimation of both receiver and sender positions in ad-hoc sensor networks have made it possible to automatically calibrate node positions - a prerequisite for many applications. In man-made environments there are often large planar reflective surfaces that give significant reverberations. In this paper, we study geometric problems of receiver-sender node calibration in the presence of such reflective planes. We establish a rank-1 factorization problem that can be used to simplify the estimation. We also show how to estimate offsets, in the Time difference of arrival case, using only the rank constraint. Finally, we present a new solver for the minimal cases of sender-receiver position estimation. These... (More)
Recent advances in simultaneous estimation of both receiver and sender positions in ad-hoc sensor networks have made it possible to automatically calibrate node positions - a prerequisite for many applications. In man-made environments there are often large planar reflective surfaces that give significant reverberations. In this paper, we study geometric problems of receiver-sender node calibration in the presence of such reflective planes. We establish a rank-1 factorization problem that can be used to simplify the estimation. We also show how to estimate offsets, in the Time difference of arrival case, using only the rank constraint. Finally, we present a new solver for the minimal cases of sender-receiver position estimation. These contributions result in a powerful stratified approach for the node calibration problem, given a reflective plane. The methods are verified with both synthetic and real data.
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- author
- Tegler, Erik LU ; Larsson, Martin LU ; Oskarsson, Magnus LU and Åström, Kalle LU
- organization
-
- Mathematics (Faculty of Engineering)
- LTH Profile Area: AI and Digitalization
- eSSENCE: The e-Science Collaboration
- ELLIIT: the Linköping-Lund initiative on IT and mobile communication
- Mathematical Imaging Group (research group)
- LTH Profile Area: Engineering Health
- Stroke Imaging Research group (research group)
- publishing date
- 2022
- type
- Chapter in Book/Report/Conference proceeding
- publication status
- published
- subject
- keywords
- minimal problems, reverberations, self-calibration, TDOA, TOA
- host publication
- 30th European Signal Processing Conference, EUSIPCO 2022 - Proceedings
- series title
- European Signal Processing Conference
- volume
- 2022-August
- pages
- 5 pages
- publisher
- European Signal Processing Conference, EUSIPCO
- conference name
- 30th European Signal Processing Conference, EUSIPCO 2022
- conference location
- Belgrade, Serbia
- conference dates
- 2022-08-29 - 2022-09-02
- external identifiers
-
- scopus:85141011050
- ISSN
- 2219-5491
- ISBN
- 9789082797091
- language
- English
- LU publication?
- yes
- id
- b40a69b1-7965-4fa3-81a4-7099774ff28b
- date added to LUP
- 2022-12-05 14:20:37
- date last changed
- 2023-11-21 13:27:23
@inproceedings{b40a69b1-7965-4fa3-81a4-7099774ff28b, abstract = {{<p>Recent advances in simultaneous estimation of both receiver and sender positions in ad-hoc sensor networks have made it possible to automatically calibrate node positions - a prerequisite for many applications. In man-made environments there are often large planar reflective surfaces that give significant reverberations. In this paper, we study geometric problems of receiver-sender node calibration in the presence of such reflective planes. We establish a rank-1 factorization problem that can be used to simplify the estimation. We also show how to estimate offsets, in the Time difference of arrival case, using only the rank constraint. Finally, we present a new solver for the minimal cases of sender-receiver position estimation. These contributions result in a powerful stratified approach for the node calibration problem, given a reflective plane. The methods are verified with both synthetic and real data.</p>}}, author = {{Tegler, Erik and Larsson, Martin and Oskarsson, Magnus and Åström, Kalle}}, booktitle = {{30th European Signal Processing Conference, EUSIPCO 2022 - Proceedings}}, isbn = {{9789082797091}}, issn = {{2219-5491}}, keywords = {{minimal problems; reverberations; self-calibration; TDOA; TOA}}, language = {{eng}}, pages = {{1941--1945}}, publisher = {{European Signal Processing Conference, EUSIPCO}}, series = {{European Signal Processing Conference}}, title = {{Sensor node calibration in presence of a dominant reflective plane}}, volume = {{2022-August}}, year = {{2022}}, }