Optimal Trilateration Is an Eigenvalue Problem

Larsson, Martin; Larsson, Viktor; Astrom, Kalle; Oskarsson, Magnus (2019-05). Optimal Trilateration Is an Eigenvalue Problem 2019 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2019 - Proceedings, 2019-May,, 5586 - 5590. 44th IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2019. Brighton, United Kingdom: IEEE - Institute of Electrical and Electronics Engineers Inc.
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DOI:
Conference Proceeding/Paper | Published | English
Authors:
Larsson, Martin ; Larsson, Viktor ; Astrom, Kalle ; Oskarsson, Magnus
Department:
Mathematics (Faculty of Engineering)
ELLIIT: the Linköping-Lund initiative on IT and mobile communication
eSSENCE: The e-Science Collaboration
Mathematical Imaging Group
Research Group:
Mathematical Imaging Group
Abstract:

The problem of estimating receiver or sender node positions from measured receiver-sender distances is a key issue in different applications such as microphone array calibration, radio antenna array calibration, mapping and positioning using UWB or using round-trip-time measurements between mobile phones and WiFi-units. In this paper we address the problem of optimally estimating a receiver position given a number of distance measurements to known sender positions, so called trilateration. We show that this problem can be rephrased as an eigenvalue problem. We also address different error models and the multilateration setting where an additional offset is also unknown, and show that these problems can be modeled using the same framework.

Keywords:
Calibration ; Multilateration ; Optimal estimation ; Trilateration ; Signal Processing ; Computational Mathematics
ISBN:
9781479981311
LUP-ID:
bbb51fb3-f3aa-4b07-bb1c-709ff38c946e | Link: https://lup.lub.lu.se/record/bbb51fb3-f3aa-4b07-bb1c-709ff38c946e | Statistics

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