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Applied Sciences
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Advanced GNSS-5G Hybrid Positioning Technologies and Applications
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Advanced GNSS-5G Hybrid Positioning Technologies and Applications

A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Electrical, Electronics and Communications Engineering".

Deadline for manuscript submissions: closed (20 November 2023) | Viewed by 2968

Special Issue Editors

Prof. Dr. Hongbo Zhao

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Guest Editor
School of Electronic and Information Engineering, Beihang University, Beijing 100191, China
Interests: cooperative positioning; non-terrestrial communication networks
Prof. Dr. Xiaolin Meng

E-Mail Website
Guest Editor
1. Faculty of Architecture, Civil, and Transportation Engineering, Beijing University of Technology, Beijing 100124, China
2. The Key Laboratory of Urban Security and Disaster Engineering of the Ministry of Education, Beijing University of Technology, Beijing 100124, China
Interests: structural health monitoring; remote sensing; smart city
Special Issues, Collections and Topics in MDPI journals
Dr. Chen Zhuang

E-Mail Website
Guest Editor
School of Electronic and Information Engineering, Beihang University, Beijing 100191, China
Interests: GNSS; cooperative positioning; 5G advanced
Prof. Dr. Qiuzhao Zhang

E-Mail Website
Guest Editor
School of Environment Science and Spatial Informatics, China University of Mining and Technology, Xuzhou 221116, China
Interests: GNSS positioning; multi-source sensor fusion; intelligent structural health monitoring; mine and underground measurement; laser point cloud intelligent processing
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Global navigation satellite systems (GNSS) are able to provide accurate positioning services in open-sky environments. However, localization in challenging scenarios such as urban canyons is still an open issue. The fifth-generation (5G) communication system is well known for its advantages in communication. Benefitting from key enabling technologies such as smaller cells, higher carrier frequency, low latency and multiple-input–multiple-output (MIMO), 5G also has the potential capability of submeter accuracy positioning.

GNSS–5G hybrid positioning and 5G-aided hybrid cooperative positioning become promising research topics with the development of the 5G standard. This Special Issue is intended for the presentation of new ideas and experimental results in the field of GNSS–5G hybrid positioning as well as cooperative positioning from theory analysis, algorithm design, and performance evaluation to its practical applications.

Areas relevant to GNSS–5G hybrid positioning include but are not limited to novel positioning algorithms, signal processing, integrity monitoring, reliability enhancement, cooperative positioning, artificial intelligence, machine learning, and deep learning in the context of intelligent transportation systems (ITS), the Internet of Things (IoT), and wireless sensor networks (WSN). 

Prof. Dr. Hongbo Zhao
Prof. Dr. Xiaolin Meng
Dr. Chen Zhuang
Prof. Dr. Qiuzhao Zhang
Guest Editors

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 100 words) can be sent to the Editorial Office for announcement on this website.

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. Applied Sciences 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 2400 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

  • GNSS
  • 5G advanced
  • hybrid positioning
  • cooperative positioning
  • integrity monitoring
  • reliability enhancement

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Published Papers (1 paper)

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Research

27 pages, 3865 KiB  
Article
A Fast Acquisition Algorithm for Hybrid Signals of 5G and BeiDou B1
by Xu Yang, Chen Zhuang, Wenquan Feng, Qiang Wang, Zhe Yang, Shan Hu and Xu Yang
Appl. Sci. 2023, 13(13), 7818; https://doi.org/10.3390/app13137818 - 3 Jul 2023
Cited by 3 | Viewed by 2102
Abstract
With the large-scale use of BeiDou navigation and 5G technology worldwide, integrating BeiDou navigation and communication has become a hot research topic in navigation and positioning technology. Low-cost, miniaturized, and susceptible mixed-signal receivers will become the future receiver technology development trend. However, the [...] Read more.
With the large-scale use of BeiDou navigation and 5G technology worldwide, integrating BeiDou navigation and communication has become a hot research topic in navigation and positioning technology. Low-cost, miniaturized, and susceptible mixed-signal receivers will become the future receiver technology development trend. However, the current receiver technology still faces the challenge of further improving the positioning service capability and communication quality, which includes the lack of practical analysis of the compatibility between signals and the lack of mixed-signal processing capability of the receiver baseband key technology. To address these problems, we start by analyzing the signal part of 5G out-of-band signals falling into the BD B1 signal band, conduct a detailed analysis of the mixed signal regime and frequency planning, and design a hybrid receiver architecture compatible with both signals, and propose an SC-PMF-FFT fast capture algorithm based on strong correlation, which takes advantage of the strong correlation of signals broadcast on the BD B1 frequency point from B1I to B1C, and reuses the structure of the CDMA system signal capture algorithm to complete the fast capture of 5G signals using an OFDM system. The experiments show that the method can capture the BeiDou B1 signal with a sensitivity of −154 dBm and a whole constellation capture time of no more than 40 ms with the inlet power of the 5G signal not exceeding −45 dBw. Full article
(This article belongs to the Special Issue Advanced GNSS-5G Hybrid Positioning Technologies and Applications)
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