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Advances in Hybrid Positioning and Tracking: Algorithms, Systems and Applications

A Special Issue of Sensors (ISSN 1424-8220) belonging to the section "Navigation and Positioning".

Deadline for manuscript submissions: 31 January 2027 | Viewed by 808

Editor


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Guest Editor
Institute of Radioelectronics and Multimedia Technology, Warsaw University of Technology, Nowowiejska 15/19, 00-665 Warsaw, Poland
Interests: machine learning and neural networks; positioning systems; IoT systems; devices and data processing
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Special Issue Information

Dear Colleagues,

Over the past decade, sensor-based localization and tracking have experienced rapid development. Significant advances in sensing technologies, measurement techniques and algorithms have enabled increasingly sophisticated positioning solutions. In particular, hybrid positioning approaches have emerged as a powerful strategy to overcome limitations of individual systems to enable accurate and robust positioning in varying environments and scenarios.

This Special Issue aims to present and disseminate recent advances in hybrid positioning and tracking. We welcome contributions addressing developments in algorithms, systems and applications, in which several sensing technologies are combined to enable high accuracy and robust solutions. We do not restrict the scope to specific environments or technologies.

Topics of interest include, but are not limited to, the following:

  • Design and evaluation of hybrid positioning and tracking systems combining multiple sensing technologies
  • Sensor fusion techniques for improved accuracy and robustness
  • Machine-learning approaches applied to hybrid positioning and tracking
  • Experimental validation and benchmarking of real-world hybrid positioning and tracking deployments

Dr. Marcin Kolakowski
Guest Editor

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 250 words) can be sent to the Editorial Office for assessment.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-anonymized peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Sensors is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • hybrid positioning
  • localization
  • positioning algorithms
  • tracking
  • machine-learning and AI-driven positioning
  • positioning applications

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Published Papers (1 paper)

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Research

28 pages, 5093 KB  
Article
3D Self-Localization and Tracking with Minimum Anchor Dependency: A Hybrid Measurement and EKF-Based Approach
by Amani Atiani, Mohammed El-Absi and Thomas Kaiser
Sensors 2026, 26(12), 3925; https://doi.org/10.3390/s26123925 - 20 Jun 2026
Viewed by 439
Abstract
This paper investigates the feasibility of 3D self-localization and tracking using chipless radio frequency identification (RFID) tags operating in the terahertz (THz) frequency band. The primary objective is to achieve sub-millimeter (sub-mm) localization and tracking accuracy while minimizing reliance on external infrastructure. To [...] Read more.
This paper investigates the feasibility of 3D self-localization and tracking using chipless radio frequency identification (RFID) tags operating in the terahertz (THz) frequency band. The primary objective is to achieve sub-millimeter (sub-mm) localization and tracking accuracy while minimizing reliance on external infrastructure. To this end, a hybrid localization framework is proposed that jointly exploits round-trip time-of-flight (RToF) and angle-of-arrival (AoA) measurements to enhance localization performance. Although near-field propagation effects are inherently significant in the considered THz operating regime, a simplified far-field approximation is adopted to facilitate tractable system modeling and analytical development. The proposed framework is further extended to dynamic scenarios through an extended Kalman filter (EKF)-based tracking algorithm, which incorporates temporal state evolution to improve estimation robustness under noisy measurements. Furthermore, the Cramér–Rao lower bound (CRLB) for the hybrid RToF-AoA system is derived to establish the fundamental limits of localization accuracy under varying system configurations and measurement conditions. Simulation results demonstrate that the proposed approach is capable of achieving sub-mm localization and tracking accuracy with a highly constrained anchor infrastructure, including operation with a single anchor in the considered scenario. These findings highlight the potential of THz chipless RFID technology as a promising enabling solution for next-generation high-accuracy localization and tracking applications. Full article
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