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Why You Shouldn’t Use TDOA for Multilateration

Frisch, Daniel ORCID iD icon 1; Hanebeck, Uwe D. 1
1 Institut für Anthropomatik und Robotik (IAR), Karlsruher Institut für Technologie (KIT)

Abstract:

The maximum likelihood problem arising from multilateration or source localization via signal times of arrival (TOA) leads to a nonlinear least squares problem in target position and target transmission time (TTT). Since we are not interested in the latter, it is usually eliminated from the equation system. We eliminate the TTT in closed form, which is simpler to design, easier to implement, and faster to compute than the often used pairwise time differences of arrival (TDOAs). We propose an unweighted nonlinear least squares formulation of the multilateration problem whose minimization with the Levenberg-Marquardt algorithm is very fast. Julia source code is available here (others added on request): https://github.com/KIT-ISAS/MFI2025_MLAT-TOA


Postprint §
DOI: 10.5445/IR/1000191492
Veröffentlicht am 24.04.2026
Originalveröffentlichung
DOI: 10.1109/MFI67357.2025.11259346
Scopus
Zitationen: 1
Cover der Publikation
Zugehörige Institution(en) am KIT Institut für Anthropomatik und Robotik (IAR)
Publikationstyp Proceedingsbeitrag
Publikationsdatum 02.09.2025
Sprache Englisch
Identifikator ISBN: 979-8-3315-8232-6
KITopen-ID: 1000191492
Erschienen in IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems (MFI 2025)
Veranstaltung IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems (MFI 2025), College Station, TX, USA, 02.09.2025 – 04.09.2025
Verlag Institute of Electrical and Electronics Engineers (IEEE)
Seiten 6 S.
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