Cooperative Localization Performance for IoT WSNs

A special issue of Electronics (ISSN 2079-9292). This special issue belongs to the section "Networks".

Deadline for manuscript submissions: closed (15 November 2023) | Viewed by 1112

Special Issue Editors


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Guest Editor
1. Department of Land Surveying and Geo-Informatics, The Hong Kong Polytechnic University, Hong Kong 999077, China
2. Research Institute for Artificial Intelligence of Things, The Hong Kong Polytechnic University, Hong Kong 999077, China
Interests: GNSS; urban planning and navigation; indoor positioning
Special Issues, Collections and Topics in MDPI journals
School of Land Science and Technology, China University of Geosciences Beijing, Beijing 100083, China
Interests: integrated navigation; GNSS positioning; INS

Special Issue Information

Dear Colleagues,

GNSSs have become extremely valuable positioning infrastructure for many applications worldwide, such as UAVs and autonomous driving. In open areas, high-precision positioning can be achieved using well-known technologies such as RTK and PPP. However, in urban environments, due to the severe multipath and blockage of satellite signals, accurate GNSS positioning is extremely difficult. Wireless sensor network (WSN) technologies such as V2X, Wi-Fi, BLE network, 5G and UWB have attracted a great deal of attention because they can enhance the positioning performance. New methods for fusing these sensors are urgently needed to meet the accuracy, integrity and reliability requirements. This Special Issue aims to provide contributions on advancing accuracy and improving integrity using WSNs.

Potential topics include, but are not limited to:

  1. Measures for accuracy, integrity and reliability improvement;
  2. Calibration and modelling of different positioning sensor errors;
  3. Algorithms for sensor fusion;
  4. Integrity monitoring of GNSSs and other augmentation systems;
  5. RAIM, SBAS and GBAS;
  6. PPP and RTK;
  7. Cooperative positioning;
  8. Smartphone positioning;
  9. GNSS multipath mitigation;
  10. High-precision positioning.

The Special Issue will present the state-of-the-art in outdoor and indoor positioning techniques for better performance.

Dr. Duojie Weng
Dr. Cheng Yang
Guest Editors

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Keywords

  • GNSS
  • WSN
  • cooperative positioning
  • integrity monitoring
  • multipath mitigation

Published Papers (1 paper)

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Research

17 pages, 4254 KiB  
Article
Optimization of Protection Level of GBAS with Gaussian Mixture Model
by Yao Wang, Jingbo Zhao, Shuo Hao, Shenying Hui and Baoguo Yu
Electronics 2023, 12(15), 3290; https://doi.org/10.3390/electronics12153290 - 31 Jul 2023
Cited by 1 | Viewed by 887
Abstract
The Gaussian mixture model (GMM) is commonly used to model the heavy tail of the ground-based augmentation system (GBAS) range error distribution. In practice, Gaussian over-bounding based on a GMM is used to over-bound the heavy tail of the ranging errors, but the [...] Read more.
The Gaussian mixture model (GMM) is commonly used to model the heavy tail of the ground-based augmentation system (GBAS) range error distribution. In practice, Gaussian over-bounding based on a GMM is used to over-bound the heavy tail of the ranging errors, but the GBAS protection levels (PLs) based on the Gaussian over-bounding tend to be overestimated. Based on the idea of solution separation and overcoming the shortcoming of its direct reference to GBAS, this paper analyses the constraint conditions and objective functions of the optimal protection level based on solution separation under a GMM distribution, and proposes that multi-hypothesis solution set classification can effectively reduce the computational complexity. At the same time, least squares optimization and dynamic allocation of integrity risk are used to further reduce the protection level. This paper verifies the validity of the parameters of the GMM based on actual airport GBAS data, performs simulation verification of the typical scenarios of CAT I and CAT II/IIIa global GBAS under the Beidou 3 constellation, and analyses the performance improvement effect under different solution set traversal depths. The results show that when the traversal depths of CAT I and CAT II/IIIa are 4 and 6, the vertical protection level component of the ground ranging error is reduced by 14% and the total vertical protection level is reduced by 10%. Full article
(This article belongs to the Special Issue Cooperative Localization Performance for IoT WSNs)
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