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Advances in 5G High-Precision Positioning

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 (28 July 2022) | Viewed by 2116

Special Issue Editor


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Guest Editor
School of Information Science and Engineering, Southeast University, Nanjing 210096, China
Interests: intelligent sensing; intelligent wireless communication; signal processing theory; radar signal processing

Special Issue Information

Dear Colleagues,

We are inviting submissions to the Special Issue on Advances in 5G High-Precision Positioning.

High-accuracy positioning is a prerequisite for many advanced location-based services in future mobile networks. Providing position information with sufficient accuracy, high efficiency, and wide coverage can help to optimize and to automatize processes in various vertical sectors, ranging from autonomous driving to industrial IoT. In the 3GPP Release 16 specification, the LTE positioning feature is extended to accommodate enablers of 5G such as high carrier frequencies, large bandwidth, large number of antennas, D2D communication, and dense networks. Indeed, 5G-network-based positioning is expected to support accuracy of 10 m down to less than 1 m in 80% of occasions and less than 1 m indoors. To this end, research on 5G high-precision positioning is running smoothly, which shows enormous potential to deliver innovative services not previously possible and, thus, has aroused much attention from the industry, academia, and the general public.

It should be noted that research on 5G positioning focuses not only on the incremental evolution of currently operating methods such as cell-ID, RSS, and TDoA, but also on using new technologies and paradigms such as multi-RTT, DL-AoD, and UL-AoA. Apart from conventional positioning methods, multisensor fusion and intelligent algorithms are promising to overcome the challenge of robust submeter accuracy in multipath and NLoS environments. These research directions provide rich opportunities to extend 5G high-precision positioning to more ubiquitous and mobile applications.

In this Special Issue, we invite submissions exploring recent advances in the fields of 5G high-precision positioning, aiming to address more in-depth research for integrated sensing and communication in future cellular networks. Both theoretical and experimental studies are welcomed, as well as comprehensive review and survey papers.

Dr. Shengheng Liu
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 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

  • 5G/B5G communications
  • indoor positioning
  • integrated sensing and communication
  • cellular networks
  • time-of-arrival (ToA)
  • angle-of-arrival (AoA)
  • location-based services (LBS)
  • multisensor fusion

Published Papers (1 paper)

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Research

20 pages, 752 KiB  
Article
Direct Position Determination of Non-Circular Sources for Multiple Arrays via Weighted Euler ESPRIT Data Fusion Method
by Xinlei Shi, Xiaofei Zhang and Haowei Zeng
Appl. Sci. 2022, 12(5), 2503; https://doi.org/10.3390/app12052503 - 28 Feb 2022
Cited by 6 | Viewed by 1311
Abstract
In recent years, direct position determination (DPD) with multiple arrays for non-circular (NC) signals is a hot topic to research. Conventional DPD techniques with spectral peak search methods have high computational complexity and are sensitive to the locations of the observation stations. Besides, [...] Read more.
In recent years, direct position determination (DPD) with multiple arrays for non-circular (NC) signals is a hot topic to research. Conventional DPD techniques with spectral peak search methods have high computational complexity and are sensitive to the locations of the observation stations. Besides, there will be loss when the signal propagates in the air, which leads to different received signal-to-noise ratios (SNRs) for each observation station. To attack the problems mentioned above, this paper derives direct position determination of non-circular sources for multiple arrays via weighted Euler estimating signal parameters viarotational invariance techniques (ESPRIT) data fusion (NC-Euler-WESPRIT) method. Firstly, elliptic covariance information of NC signals and Euler transformation are used to extend the received signal. Secondly, ESPRIT is applied to avoid the high-dimensional spectral function search problem of each observation station. Then, we combine the information of all observation stations to construct a spectral function without complex multiplication to reduce the computational complexity. Finally, the data of each observation station is weighted to compensate for the projection error. The consequence of simulation indicates that the proposed NC-Euler-WESPRIT algorithm not only improves the estimation performance, but also greatly reduces the computational complexity compared with subspace data fusion (SDF) technology and NC-ESPRIT algorithm. Full article
(This article belongs to the Special Issue Advances in 5G High-Precision Positioning)
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