Multiple Offsets Multilateration: : A New Paradigm for Sensor Network Calibration with Unsynchronized Reference Nodes

Ferranti, Luca; Aström, Kalle; Oskarsson, Magnus; Boutellier, Jani, et al. (2022). Multiple Offsets Multilateration: : A New Paradigm for Sensor Network Calibration with Unsynchronized Reference Nodes 2022 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2022 - Proceedings, 2022-May,, 4958 - 4962. 47th IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2022. Virtual, Online, Singapore: IEEE - Institute of Electrical and Electronics Engineers Inc.
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DOI:
Conference Proceeding/Paper | Published | English
Authors:
Ferranti, Luca ; Aström, Kalle ; Oskarsson, Magnus ; Boutellier, Jani , et al.
Department:
LTH Profile Area: AI and Digitalization
Stroke Imaging Research group
Mathematics (Faculty of Engineering)
ELLIIT: the Linköping-Lund initiative on IT and mobile communication
eSSENCE: The e-Science Collaboration
Mathematical Imaging Group
LTH Profile Area: Engineering Health
Research Group:
Stroke Imaging Research group
Mathematical Imaging Group
Abstract:

Positioning using wave signal measurements is used in several applications, such as GPS systems, structure from sound and Wifi based positioning. Mathematically, such problems require the computation of the positions of receivers and/or transmitters as well as time offsets if the devices are unsynchronized. In this paper, we expand the previous state-of-the-art on positioning formulations by introducing Multiple Offsets Multilateration (MOM), a new mathematical framework to compute the receivers positions with pseudoranges from unsynchronized reference transmitters at known positions. This could be applied in several scenarios, for example structure from sound and positioning with LEO satellites. We mathematically describe MOM, determining how many receivers and transmitters are needed for the network to be solvable, a study on the number of possible distinct solutions is presented and stable solvers based on homotopy continuation are derived. The solvers are shown to be efficient and robust to noise both for synthetic and real audio data.

Keywords:
Homotopy Continuation ; Minimal Problems ; Multilateration ; Sensor Networks Calibration
ISBN:
9781665405409
ISSN:
1520-6149
LUP-ID:
7c76a4a4-ac24-4ec2-a04f-3249554aa9a6 | Link: https://lup.lub.lu.se/record/7c76a4a4-ac24-4ec2-a04f-3249554aa9a6 | Statistics

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