Sensor Networks Tdoa Self-Calibration: 2d Complexity Analysis and Solutions

Luca Ferranti, Kalle Åström, Magnus Oskarsson, Jani Boutellier, Juho Kannala

Forskningsoutput: Kapitel i bok/rapport/Conference proceedingKonferenspaper i proceedingPeer review

Sammanfattning

Given a network of receivers and transmitters, the process of determining their positions from measured pseudoranges is known as network self-calibration. In this paper we consider 2D networks with synchronized receivers but unsynchronized transmitters and the corresponding calibration techniques, known as Time-Difference-Of-Arrival (TDOA) techniques. Despite previous work, TDOA self-calibration is computationally challenging. Iterative algorithms are very sensitive to the initialization, causing convergence issues. In this paper, we present a novel approach, which gives an algebraic solution to two previously unsolved scenarios. We also demonstrate that our solvers produce an excellent initial value for non-linear optimisation algorithms, leading to a full pipeline robust to noise.

Originalspråkengelska
Titel på värdpublikationICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
Sidor4635-4639
Antal sidor5
Volym2021-June
ISBN (elektroniskt)978-1-7281-7605-5
DOI
StatusPublished - 2021
EvenemangIEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2021 - Toronto, Kanada
Varaktighet: 2021 juni 62021 juni 11

Publikationsserier

NamnICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
ISSN (tryckt)1520-6149

Konferens

KonferensIEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2021
Land/TerritoriumKanada
OrtToronto
Period2021/06/062021/06/11

Ämnesklassifikation (UKÄ)

  • Kommunikationssystem

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