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Positioning and Navigation Techniques Based on Wireless Communication
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Positioning and Navigation Techniques Based on Wireless Communication

A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Navigation and Positioning".

Deadline for manuscript submissions: 25 June 2026 | Viewed by 1474

Special Issue Editor

Dr. Lu Yin

E-Mail Website
Guest Editor
School of Electronic Engineering, Beijing University of Posts and Telecommunications, Beijing 100876, China
Interests: positioning over communication networks; satellite positioning

Special Issue Information

Dear Colleagues,

The demand for robust, accurate, and ubiquitous positioning has never been greater. While Global Navigation Satellite Systems (GNSSs) provide excellent outdoor localization, their performance degrades significantly indoors, in urban canyons, and in dense environments. This has catalyzed a paradigm shift towards leveraging existing and emerging wireless communication infrastructures—such as 5G/6G, Wi-Fi, Bluetooth, Ultra-Wideband (UWB), and LEO satellite—as the foundation for a new generation of positioning systems.

This Special Issue aims to capture cutting-edge research at the intersection of wireless communications and localization. We aim to explore how communication signals can be repurposed or co-designed to provide high-accuracy, low-latency, and reliable position information. Advanced algorithms related to Communication–Positioning Integration, including but not limited to Signal Processing, Sensor Fusion, AI-Enhanced Localization, Positioning Protocols, Next-G Communication Systems, etc., will also be discussed in this issue.

Dr. Lu Yin
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-blind 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

  • positioning
  • localization
  • navigation
  • communication–positioning integration
  • high-accuracy positioning

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Published Papers (2 papers)

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Research

23 pages, 3620 KB  
Article
Wireless Communication-Based Indoor Localization with Optical Initialization and Sensor Fusion
by Marcin Leplawy, Piotr Lipiński, Barbara Morawska and Ewa Korzeniewska
Sensors 2026, 26(9), 2653; https://doi.org/10.3390/s26092653 - 24 Apr 2026
Viewed by 678
Abstract
Indoor localization in GNSS-denied environments remains a significant challenge due to the low sampling frequency and high variability of wireless signal measurements. This paper presents a wireless communication-based indoor localization method that integrates Wi-Fi received signal strength indication (RSSI) measurements with optical initialization [...] Read more.
Indoor localization in GNSS-denied environments remains a significant challenge due to the low sampling frequency and high variability of wireless signal measurements. This paper presents a wireless communication-based indoor localization method that integrates Wi-Fi received signal strength indication (RSSI) measurements with optical initialization and inertial sensor fusion. The proposed approach eliminates the need for labor-intensive fingerprinting and specialized infrastructure by leveraging existing Wi-Fi networks. Optical pose estimation using ArUco markers provides accurate initial position and orientation, enabling alignment between sensor coordinate systems and reducing inertial drift. During tracking, inertial measurements compensate for motion between sparse Wi-Fi observations by virtually translating historical RSSI samples, allowing statistically consistent averaging and improved distance estimation. A simplified factor graph framework is employed to fuse heterogeneous measurements while maintaining computational efficiency suitable for real-time operation on mobile devices. Experimental validation using a robot-based ground-truth reference system demonstrates sub-meter localization accuracy with an average positioning error of approximately 0.40 m. The proposed method provides a low-cost and scalable solution for indoor positioning and navigation applications such as access-controlled environments, exhibitions, and large public venues. Full article
(This article belongs to the Special Issue Positioning and Navigation Techniques Based on Wireless Communication)
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23 pages, 3007 KB  
Article
A POA-QPSO Hybrid Algorithm for Multi-Objective Optimization of Dual-Layer Walker Constellations
by Yinuo Wang, Hongyuan Ye, Tianwen Du and Xuchu Mao
Sensors 2026, 26(4), 1391; https://doi.org/10.3390/s26041391 - 23 Feb 2026
Viewed by 459
Abstract
The rapid development of low earth orbit (LEO) satellite constellations for navigation augmentation represents significant challenges in optimizing coverage performance while minimizing system complexity. A hybrid optimization algorithm based on pelican optimization algorithm and quantum particle swarm optimization (POA-QPSO) is proposed in this [...] Read more.
The rapid development of low earth orbit (LEO) satellite constellations for navigation augmentation represents significant challenges in optimizing coverage performance while minimizing system complexity. A hybrid optimization algorithm based on pelican optimization algorithm and quantum particle swarm optimization (POA-QPSO) is proposed in this paper for multi-objective optimization design of dual-layer Walker constellations. The algorithm integrates the global search capability of the POA and the local exploitation ability of QPSO, effectively balancing exploration and exploitation through a probability-driven dual-phase search mechanism, a three-tier adaptive parameter adjustment strategy, and a pareto frontier maintenance mechanism. Probability factor and quantum tunneling facilitate low-cost deep search in complex non-convex environments. Experiments demonstrate that the algorithm outperforms MOPOA and MOPSO on ZDT test functions, with an 18.5% improvement in IGD metrics. In LEO constellation optimization, the designed dual-layer configuration (800 km/144 satellites in the first layer and 1426 km/56 satellites in the second layer) achieves a 92.7% global coverage, with an average PDOP of 1.78 and 5.8 visible satellites in polar regions. Furthermore, comparative benchmark tests show that the proposed solution outperforms most mainstream algorithms and performs better than traditional medium Earth orbit satellite systems in mid-to-high latitude regions. This research provides an efficient solution for LEO navigation augmentation system design. Full article
(This article belongs to the Special Issue Positioning and Navigation Techniques Based on Wireless Communication)
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