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Sensor Fusion in Positioning and Navigation

A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Sensor Networks".

Deadline for manuscript submissions: 20 June 2025 | Viewed by 828

Special Issue Editors


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Guest Editor
1. School of Electronics and Information, Northwestern Polytechnical University, Xi’an 710072, China
2. Research & Development Institute of Northwestern Polytechnical University in Shenzhen, Shenzhen 518063, China
Interests: cooperative positioning; high-speed communication; big data fusion; array antennas

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Guest Editor
School of Engineering, Macquarie University, Sydney, NSW 2113, Australia
Interests: wireless digital communications; mobile networks; position location; sensor networks; millimetre wave communications; ad-hoc networks; compressed sensing; mobile radio; telecommunication security; edge computing; indoor radio
Special Issues, Collections and Topics in MDPI journals

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Guest Editor
School of Marine Science and Technology, Northwestern Polytechnical University, Xi’an 710072, China
Interests: underwater positioning; cooperative positioning; water communication; fusion positioning

E-Mail Website
Guest Editor
School of Electronics and Information, Northwestern Polytechnical University, Xi’an 710072, China
Interests: cooperative positioning; MIMO communication; big data fusion; information fusion

Special Issue Information

Dear Colleagues,

In today’s information age, navigation data have become increasingly diverse. Effectively integrating navigation and positioning information to enhance accuracy is crucial in fields such as autonomous driving, the Internet of Things, and smart cities. This Special Issue aims to delve into the practical applications of multi-sensor fusion in navigation and positioning. We will explore the fundamental principles, emerging methods, and technological advancements in sensor fusion, along with its uses in the Internet of Things.

This Special Issue will focus on research related to sensor fusion in the fields of navigation and positioning, with an emphasis on the application of sensor fusion technology. Its key areas of study will include highly dynamic sensor fusion, real-time sensor fusion, heterogeneous sensor fusion, flexible sensor clustering, and related topics such as communication coding, direction-finding, and ranging.

These topics are extremely popular in integrated communication and navigation, the Internet of Things, smart cities, and related fields. As such, this Special Issue, Sensor Fusion in Positioning and Navigation, aims to report the latest advances in all topics related to sensor fusion-related navigation and positioning. We would like to invite all researchers in this field to contribute to this Special Issue.

Dr. Chengkai Tang
Prof. Dr. Iain Collings
Dr. Lingling Zhang
Dr. Yangyang Liu
Guest Editors

Manuscript Submission Information

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Keywords

  • sensor fusion
  • positioning
  • navigation

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Published Papers (1 paper)

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Research

40 pages, 10528 KiB  
Article
FMCW Radar-Aided Navigation for Unmanned Aircraft Approach and Landing in AAM Scenarios: System Requirements and Processing Pipeline
by Paolo Veneruso, Luca Manica, Enrico Miccio, Roberto Opromolla, Carlo Tiana, Giacomo Gentile and Giancarmine Fasano
Sensors 2025, 25(8), 2429; https://doi.org/10.3390/s25082429 - 11 Apr 2025
Viewed by 395
Abstract
This paper focuses on the use of Frequency-Modulated Continuous Wave radars as an aiding source to provide precision navigation during approach and landing operations in Advanced Air Mobility scenarios. Specifically, the radar system requirements are delineated through an analysis of operational constraints defined [...] Read more.
This paper focuses on the use of Frequency-Modulated Continuous Wave radars as an aiding source to provide precision navigation during approach and landing operations in Advanced Air Mobility scenarios. Specifically, the radar system requirements are delineated through an analysis of operational constraints defined by regulatory guidelines, including approach trajectories and vertiport infrastructure to ensure compatibility with Urban Air Mobility scenarios. A preliminary radar design is proposed which is integrated within a multi-sensor navigation architecture including a GNSS receiver, an inertial measurement unit, and two cameras. The radar is designed to detect high-reflectivity targets placed in the landing area and uses a matching algorithm to associate these detections with their known positions, enabling reliable corrections to the aircraft navigation state. Radar measurements are tightly integrated into an Extended Kalman Filter alongside data from other sensors, refining the vehicle navigation state estimate and ensuring seamless transitions between long-range and short-range sensing modalities. A high-fidelity simulation environment validates the proposed multi-sensor architecture under different visibility conditions and accordingly disactivating the radar to validate its contribution. The results demonstrate significant improvements in navigation performance when the radar is integrated within the multi-sensor architecture thanks to its important role in providing accurate estimates at high ranges from the landing pattern and during low-visibility operations. The reported statistics of the multi-sensor architecture performance are compared with the assumed required navigation performance in the scenarios of interest, demonstrating the radar contribution and showing the effects of designed radar angular resolution on the multi-sensor architecture. Full article
(This article belongs to the Special Issue Sensor Fusion in Positioning and Navigation)
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