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IEEE Journal of Indoor and Seamless Positioning and Navigation is a peer-reviewed journal published by IEEE, covering Indoor and Outdoor Localization Technologies, GNSS positioning and interference, Robotics and Sensor-Based Localization. Over its lifetime it has published 100 papers, which have received 357 citations.
| Publisher | IEEE |
|---|---|
| Reference style | Numbered (IEEE) Numbered — [1], [2] in the text [1] A. Smith, B. Jones, and C. Lee, "A representative article title," IEEE Journal of Indoor and Seamless Positioning and Navigation, vol. 12, no. 3, pp. 45–58, 2023.
Formats any DOI in IEEE Journal of Indoor and Seamless Positioning and Navigation style. No sign-up. |
| Publishes research in | Indoor and Outdoor Localization Technologies GNSS positioning and interference Robotics and Sensor-Based Localization Underwater Vehicles and Communication Systems Speech and Audio Processing |
| ISSN | 2832-7322 |
| Citation impact (2-yr) | 2.19 |
| h-index | 9 |
| i10-index | 9 |
| Open access | Yes — indexed in DOAJ |
| Top institutions publishing here | Fraunhofer Institute for Integrated Circuits |
| You get | A submission-ready PDF and the editable LaTeX source — ready to submit. |
Citations each year’s papers have accumulated so far — the most recent years are still building up.
A bidirectional Ultra-Wideband (UWB) localization scheme is one of the three widely adopted design integration processes commonly used in time-based UWB positioning systems. The key property of bidirectional UWB localization is its ability to serve both navigation and tracking tasks within a single localization scheme on demand. Traditionally, navigation and tracking in wireless localization systems…
Smartphone-based indoor localization has emerged as a cost-effective and accurate solution to localize mobile and IoT devices indoors. However, the challenges of device heterogeneity and temporal variations have hindered its widespread adoption and accuracy. Towards jointly addressing these challenges comprehensively, we propose STELLAR, a novel framework implementing a contrastive learning approach that leverages a Siamese…
The 3D nature of modern smart applications has imposed significant 3D positioning accuracy requirements, especially in indoor environments. However, a major limitation of most existing indoor localization systems is their focus on estimating positions mainly in the horizontal plane, overlooking the crucial vertical dimension. This neglect presents considerable challenges in accurately determining the 3D position…
Radio-frequency technologies have been largely explored to deliver reliable indoor localization systems. However, at the current stage, none of the proposed technologies represent a de-facto standard. Although RSS-based (Received Signal Strength) techniques have been extensively studied, they suffer of a number of side-effects mainly caused by the complexity of radio propagation in indoor environments. A…
Radio fingerprinting (FP) technologies improve localization performance in challenging non-line-of-sight environments. However, FP is expensive as its life cycle management requires recording reference signals for initial training and when the environment changes. Instead, novel channel charting technologies are significantly cheaper. Because they implicitly assign relative coordinates to radio signals, they require few reference coordinates for…
