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Advanced Technologies for Position and Navigation under GNSS Signal Challenging...
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Advanced Technologies for Position and Navigation under GNSS Signal Challenging or Denied Environments III

A special issue of Remote Sensing (ISSN 2072-4292). This special issue belongs to the section "Engineering Remote Sensing".

Deadline for manuscript submissions: closed (30 June 2024) | Viewed by 6150

Special Issue Editors

Prof. Dr. Changhui Jiang

E-Mail Website
Guest Editor
College of Automation Engineering, Nan**g University of Aeronautics and Astronautics, Nan**g 211106, China
Interests: multi-sensor navigation; under water remote sensing; underwater LiDAR
Special Issues, Collections and Topics in MDPI journals
Dr. Yuwei Chen

E-Mail
Guest Editor
Finish Geospatial Research Institute in National Land Survey of Finland, Vuorimiehentie 5, 02150 Espoo, Finland
Interests: positioning and navigation technologies; multi-sensor fusion; LiDAR scanning
Special Issues, Collections and Topics in MDPI journals
Dr. Qian Meng

E-Mail Website
Guest Editor
School of Instrument Science and Engineering, Southeast University, Nan**g 210096, China
Interests: GNSS; navigation integrity; resilient PNT; multi-sensor information fusion
Special Issues, Collections and Topics in MDPI journals
Dr. Panlong Wu

E-Mail Website
Guest Editor
School of Automation, Nan**g University of Science and Technology, Nan**g 210094, China
Interests: data fusion; target tracking; nonlinear filtering; integrated navigation
Special Issues, Collections and Topics in MDPI journals
Dr. Bing Xu

E-Mail Website
Guest Editor
Department of Aeronautical and Aviation Engineering, The Hong Kong Polytechnic University, Hong Kong, China
Interests: signal processing; satellite positioning and navigation; GNSS receiver design; parameter estimation
Special Issues, Collections and Topics in MDPI journals
Dr. Lianwu Guan

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Guest Editor
College of Intelligent Systems Science and Engineering, Harbin Engineering University, Harbin 150001, China
Interests: intelligent navigation; integrated navigation; cross-media navigation
Special Issues, Collections and Topics in MDPI journals
Dr. Wang Gao

E-Mail
Guest Editor
School of Instrument Science and Engineering, Southesast University, Nan**g 210000, China
Interests: satellite geodesy; GNSS precise positioning; integrated navigation; multisensor fusion navigation; parameter estimation
Special Issues, Collections and Topics in MDPI journals
Dr. Zeyu Li

E-Mail Website
Guest Editor
College of Geodesy and Geomatics, Shandong University of Science and Technology, Qingdao 266590, China
Interests: simultaneous localization and map**; quality control
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Position, Navigation and Time (PNT) information is fundamental to many applications, i.e., UAVs, smartphones, and autonomous driving vehicles. The Global Navigation Satellite System (GNSS) is dominant in providing the PNT with information due to its coverage and high accuracy. However, its signals are weak and it is vulnerable; multipath and None-Line-Of-Signals (NLOSs) signals are the major errors that occur with regard to the GNSS when it is applied in urban areas. Advanced signal processing methods are expected to enhance its resilience and assurance. In addition, the GNSS is vulnerable to interference and spoofing, which should be emphasized for unmanned systems and smart devices.

Apart from improving the resilience of the GNSS in signal-challenging environments, PNT information without the GNSS is critical for many applications, namely indoors, tunnels, underground, etc. Advanced technologies employing high-accuracy inertial sensors and timing devices, namely the MEMS Gyroscope, the atomic interferometer gyroscope, the nuclear magnetic resonance gyroscope, the chip scale atomic clock, etc., are key to supporting PNT in GNSS-denied environments. Multi-sensor integration is also a prospective solution. This Special Issue aims to provide a platform for researchers to publish innovative work addressing recent advances in position and navigation under GNSS signal-challenging or denied environments. Specifically, we invite contributions concerning the following topics:

  • GNSS multipath, NLOS and spoofing identification, mitigation or correction;
  • LiDAR/Visual SLAM;
  • Indoor position with new technologies;
  • Multi-sensor integration and fusion;
  • Micro-Technology for Positioning, Navigation, and Timing;
  • Cooperative navigation;
  • RAIM and fault detection;
  • RTK or PPP in urban areas.

Dr. Changhui Jiang
Dr. Yuwei Chen
Dr. Qian Meng
Dr. Panlong Wu
Dr. Bing Xu
Dr. Lianwu Guan
Dr. Wang Gao
Dr. Zeyu Li
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at mdpi.longhoe.net 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. Remote Sensing 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 2700 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.

Related Special Issue

Published Papers (5 papers)

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19 pages, 8226 KiB  
Article
Wavelet Transform-Based Inertial Neural Network for Spatial Positioning Using Inertial Measurement Units
by Yong Tang, Jianhua Gong, Yi Li, Guoyong Zhang, Banghui Yang and Zhiyuan Yang
Remote Sens. 2024, 16(13), 2326; https://doi.org/10.3390/rs16132326 - 26 Jun 2024
Viewed by 323
Abstract
As the demand for spatial positioning continues to grow, positioning methods based on inertial measurement units (IMUs) are emerging as a promising research topic due to their low cost and robustness against environmental interference. These methods are particularly well suited for global navigation [...] Read more.
As the demand for spatial positioning continues to grow, positioning methods based on inertial measurement units (IMUs) are emerging as a promising research topic due to their low cost and robustness against environmental interference. These methods are particularly well suited for global navigation satellite system (GNSS)-denied environments and challenging visual scenarios. While existing algorithms for position estimation using IMUs have demonstrated some effectiveness, there is still significant room for improvement in terms of estimation accuracy. Current approaches primarily treat IMU data as simple time series, neglecting the frequency-domain characteristics of IMU signals. This paper emphasizes the importance of frequency-domain information in IMU signals and proposes a novel neural network, WINNet (Wavelet Inertial Neural Network), which integrates time- and frequency-domain signals using a wavelet transform for spatial positioning with inertial sensors. Additionally, we collected ground-truth data using a LiDAR setup and combined it with the TLIO dataset to form a new IMU spatial positioning dataset. The experimental results demonstrate that our proposed method outperforms the current state-of-the-art inertial neural network algorithms in terms of the ATE, RTE, and drift error metrics overall. Full article
(This article belongs to the Special Issue Advanced Technologies for Position and Navigation under GNSS Signal Challenging or Denied Environments III)
19 pages, 9141 KiB  
Article
Performance Enhancement and Evaluation of a Vector Tracking Receiver Using Adaptive Tracking Loops
by Ning Gao, **yuan Chen, Zhe Yan and Zhiyuan Jiao
Remote Sens. 2024, 16(11), 1836; https://doi.org/10.3390/rs16111836 - 21 May 2024
Viewed by 485
Abstract
The traditional receiver employs scalar tracking loops, resulting in degraded navigation performance in weak signal and high dynamic scenarios. An innovative design of a vector tracking receiver based on nonlinear Kalman filter (KF) tracking loops is proposed in this paper, which combines the [...] Read more.
The traditional receiver employs scalar tracking loops, resulting in degraded navigation performance in weak signal and high dynamic scenarios. An innovative design of a vector tracking receiver based on nonlinear Kalman filter (KF) tracking loops is proposed in this paper, which combines the strengths of both vector tracking and KF-based tracking loops. First, a comprehensive description of the vector tracking receiver model is presented, and unscented Kalman filter (UKF) is applied to nonlinear tracking loop. Second, to enhance the stability and robustness of the KF tracking loop, we introduce square root filtering and an adaptive mechanism. The tracking loop based on square root UKF (SRUKF) can dynamically adjust its filtering parameters based on signal noise and feedback Doppler error. Finally, the proposed method is implemented on a software-defined receiver (SDR), and the field vehicle experiment demonstrates the superiority of this method over other tracking methods in complex dynamic environments. Full article
(This article belongs to the Special Issue Advanced Technologies for Position and Navigation under GNSS Signal Challenging or Denied Environments III)
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24 pages, 1770 KiB  
Article
Current Status and Future Trends of Meter-Level Indoor Positioning Technology: A Review
by Lin Qi, Yu Liu, Yue Yu, Liang Chen and Ruizhi Chen
Remote Sens. 2024, 16(2), 398; https://doi.org/10.3390/rs16020398 - 19 Jan 2024
Cited by 2 | Viewed by 2862
Abstract
High-precision indoor positioning technology is regarded as one of the core components of artificial intelligence (AI) and Internet of Things (IoT) applications. Over the past decades, society has observed a burgeoning demand for indoor location-based services (iLBSs). Concurrently, ongoing technological innovations have been [...] Read more.
High-precision indoor positioning technology is regarded as one of the core components of artificial intelligence (AI) and Internet of Things (IoT) applications. Over the past decades, society has observed a burgeoning demand for indoor location-based services (iLBSs). Concurrently, ongoing technological innovations have been instrumental in establishing more accurate, particularly meter-level indoor positioning systems. In scenarios where the penetration of satellite signals indoors proves problematic, research efforts focused on high-precision intelligent indoor positioning technology have seen a substantial increase. Consequently, a stable assortment of location sources and their respective positioning methods have emerged, characterizing modern technological resilience. This academic composition serves to illuminate the current status of meter-level indoor positioning technologies. An in-depth overview is provided in this paper, segmenting these technologies into distinct types based on specific positioning principles such as geometric relationships, fingerprint matching, incremental estimation, and quantum navigation. The purpose and principles underlying each method are elucidated, followed by a rigorous examination and analysis of their respective technological strides. Subsequently, we encapsulate the unique attributes and strengths of high-precision indoor positioning technology in a concise summary. This thorough investigation aspires to be a catalyst in the progression and refinement of indoor positioning technologies. Lastly, we broach prospective trends, including diversification, intelligence, and popularization, and we speculate on a bright future ripe with opportunities for these technological innovations. Full article
(This article belongs to the Special Issue Advanced Technologies for Position and Navigation under GNSS Signal Challenging or Denied Environments III)
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22 pages, 6428 KiB  
Article
Enhancing Path Planning Efficiency for Underwater Gravity Matching Navigation with a Novel Three-Dimensional Along-Path Obstacle Profiling Algorithm
by **aocong Zhou, Wei Zheng, Zhaowei Li, Panlong Wu and Yong** Sun
Remote Sens. 2023, 15(23), 5579; https://doi.org/10.3390/rs15235579 - 30 Nov 2023
Cited by 1 | Viewed by 717
Abstract
This paper presents a study on enhancing the efficiency of underwater gravity matching navigation path planning in a three-dimensional environment. Firstly, to address the challenges of the computational complexity and prolonged calculation times associated with the existing three-dimensional path planning algorithms, a novel [...] Read more.
This paper presents a study on enhancing the efficiency of underwater gravity matching navigation path planning in a three-dimensional environment. Firstly, to address the challenges of the computational complexity and prolonged calculation times associated with the existing three-dimensional path planning algorithms, a novel Three-Dimensional Along-Path Obstacle Profiling (TAOP) algorithm is introduced. The principles of the TAOP algorithm are as follows: (1) unfolding obstacles along the path using the path obtained from two-dimensional planning as an axis, interpolating water depth values based on downloaded terrain data, and subjecting obstacles to dilation treatment to construct a dilated obstacle profile for path segments; (2) conducting height direction course planning and a secondary optimization of the path based on the profile contours of the dilated obstacles; and (3) integrating height planning with the path points from two-dimensional planar planning to obtain a complete path containing all turning points in the three-dimensional space. Secondly, gravity anomaly data are utilized to delineate gravity suitability areas, and a three-dimensional planning environment that is suitable for underwater gravity matching navigation is established by integrating seafloor terrain data. Under identical planning environments and parameter conditions, the performance of the TAOP algorithm is compared to that of the RRT* algorithm, Q-RRT* algorithm, and Depth Sorting Fast Search (DSFS) algorithm. The results show that, compared to the RRT* algorithm, Q-RRT* algorithm, and DSFS algorithm, the TAOP algorithm achieves efficiency improvements of 15.6 times, 5.98 times, and 4.04 times, respectively. Full article
(This article belongs to the Special Issue Advanced Technologies for Position and Navigation under GNSS Signal Challenging or Denied Environments III)
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16 pages, 11777 KiB  
Technical Note
Impact Analysis of Satellite Geometry Variation on ARAIM Integrity Risk over Exposure Interval
by Ruijie Li, Liang Li, Zhibo Na, Yangwang Duan, **n Xu and Zelin Liu
Remote Sens. 2024, 16(2), 286; https://doi.org/10.3390/rs16020286 - 10 Jan 2024
Viewed by 808
Abstract
Accurate integrity risk evaluation is of significance in ensuring that aviation navigation applications satisfy the predefined integrity requirement. The integrity risk evaluation method over a specified exposure interval has been proposed in previous works for the development of advanced receiver autonomous integrity monitoring [...] Read more.
Accurate integrity risk evaluation is of significance in ensuring that aviation navigation applications satisfy the predefined integrity requirement. The integrity risk evaluation method over a specified exposure interval has been proposed in previous works for the development of advanced receiver autonomous integrity monitoring (ARAIM) (ARAIM technical subgroup reference airborne algorithm description document v4.1, 2022). However, this method typically relies on an underlying optimistic assumption that the satellite geometry remains constant throughout the exposure interval. The variation in satellite geometry due to potential satellite outages undermines the widely-used geometry constant assumption. Thus, we investigate the influence of satellite geometry variations throughout the exposure interval on the integrity performance by introducing a geometry-sensitive risk-evaluation model. The findings demonstrate that, under the nominal situation, the region where the ARAIM fails to meet predefined integrity requirement could expand by a maximum of 2.93% when accounting for satellite geometry variations. Furthermore, in the situation of a single satellite outage, this hazardous region has significantly expanded from 13.12% of the global coverage to 66.82%. Based on these findings, we recommend that the ARAIM should consider satellite outages as a critical factor in real-time integrity risk evaluation. Full article
(This article belongs to the Special Issue Advanced Technologies for Position and Navigation under GNSS Signal Challenging or Denied Environments III)
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