Fast and Fault-Tolerant Passive Hyperbolic Localization Using Sensor Consensus

The accuracy of passive hyperbolic localization applications using Time Difference of Arrival (TDOA) measurements can be severely compromised in non-line-of-sight (NLOS) situations. Consensus functions have been successfully used to provide robust and accurate location estimates in such challenging...

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Veröffentlicht in:Sensors (Basel, Switzerland) Switzerland), 2024-05, Vol.24 (9), p.2891
Hauptverfasser: Simon, Gyula, Zachár, Gergely
Format: Artikel
Sprache:eng
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Zusammenfassung:The accuracy of passive hyperbolic localization applications using Time Difference of Arrival (TDOA) measurements can be severely compromised in non-line-of-sight (NLOS) situations. Consensus functions have been successfully used to provide robust and accurate location estimates in such challenging situations. In this paper, a fast branch-and-bound computational method for finding the global maximum of consensus functions is proposed and the global convergence property of the algorithm is mathematically proven. The performance of the method is illustrated by simulation experiments and real measurements.
ISSN:1424-8220
1424-8220
DOI:10.3390/s24092891