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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Bibliographic Details
Published inSensors (Basel, Switzerland) Vol. 24; no. 9; p. 2891
Main Authors Simon, Gyula, Zachár, Gergely
Format Journal Article
LanguageEnglish
Published Switzerland MDPI AG 01.05.2024
Subjects
Algorithms
consensus function
emitter localization
Estimates
fault tolerant
Localization
Methods
Propagation
Sensors
Simulation methods
source localization
TDOA
emitter localization
source localization
consensus function
TDOA
fault tolerant
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Summary: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.
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ISSN:1424-8220
1424-8220
DOI:10.3390/s24092891