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Indoor Tracking: Theory, Methods, and Technologies

IEEE Transactions on Vehicular Technology · 2015 · Vol. 64(4) · pp. 1263–1278
Davide DardariPau ClosasPetar M. Djurić

Abstract

In the last decade, the research on and the technology for outdoor tracking have seen an explosion of advances. It is expected that in the near future, we will witness similar trends for indoor scenarios where people spend more than 70% of their lives. The rationale for this is that there is a need for reliable and high-definition real-time tracking systems that have the ability to operate in indoor environments, thus complementing those based on satellite technologies, such as the Global Positioning System (GPS). The indoor environments are very challenging, and as a result, a large variety of technologies have been proposed for coping with them, but no legacy solution has emerged. This paper presents a survey on indoor wireless tracking of mobile nodes from a signal processing perspective. It can be argued that the indoor tracking problem is more challenging than the problem on indoor localization. The reason is simple: From a set of measurements, one has to estimate not one location but a series of correlated locations of a mobile node. The paper illustrates the theory, the main tools, and the most promising technologies for indoor tracking. New directions of research are also discussed.

Indoor and Outdoor Localization TechnologiesTarget Tracking and Data Fusion in Sensor NetworksUnderwater Vehicles and Communication SystemsGlobal Positioning SystemComputer scienceTracking (education)Tracking systemReal-time computingWirelessWitnessTelecommunicationsArtificial intelligenceKalman filter

Funding

  • National Science Foundation
  • Generalitat de Catalunya
Citations
546
FWCI
38.03
field-weighted impact
References
114
Percentile
100%
vs. same field & year
Citations per year
Cited by
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IEEE Internet of Things Journal · 2022 · 467 citations
References
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IEEE Transactions on Automatic Control · 2009 · 3,269 citations
Posterior Cramer-Rao bounds for discrete-time nonlinear filtering
IEEE Transactions on Signal Processing · 1998 · 1,386 citations
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