Advances in Avionics and Astrionics Systems

A special issue of Aerospace (ISSN 2226-4310).

Deadline for manuscript submissions: 15 December 2024 | Viewed by 5737

Special Issue Editors


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Guest Editor
Department of Aerospace Engineering, Khalifa University of Science and Technology, Abu Dhabi 127788, United Arab Emirates
Interests: aerospace vehicle design and testing; avionics and air traffic management systems; spaceflight systems design and operations; aerospace robotics and autonomous systems; guidance, navigation and control systems; unmanned aircraft systems (UAS) and UAS traffic management; advanced air mobility and urban air mobility; distributed and intelligent satellite systems; space domain awareness and space traffic management; GNSS integrity monitoring and augmentation; defense C4ISR and electronic warfare systems; cognitive human-machine systems
Special Issues, Collections and Topics in MDPI journals

E-Mail Website
Guest Editor
Department of Aerospace Engineering, Khalifa University of Science and Technology, Abu Dhabi 127788, United Arab Emirates
Interests: aircraft and spacecraft modelling, simulation and optimization, digital twin and virtual prototype development, with focus on UAS/UAM and near-Earth orbits; aerospace GNC, with emphasis on multi-objective and multi-phase trajectory optimization for air and space platforms; aircraft environmental impacts modelling and assessment, aviation sustainability and greening technologies; aviation human factors engineering, human-in-the-loop testing, cognitive aerospace systems and trusted autonomy; avionics and CNS/ATM systems engineering and operations; airborne/spaceborne electro-optics and laser systems design, modelling and experimental characterization
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Continuing rapid advances in avionics and astrionics systems are accelerating the introduction of automated decision-making functionalities and the progressive transition to trusted autonomous operations both in atmospheric and space flight. Major benefits of these capabilities include the de-crewing of flight decks and ground control centers, as well as the safe and efficient operations of air and space platforms in a shared, unsegregated environment. In the commercial aviation context, the introduction of Cyber-Physical System (CPS) architectures and Artificial Intelligence (AI) is supporting the development of single-pilot operated aircraft, with the co-pilot potentially replaced by a digital assistant and/or a remote pilot on the ground. A single remote pilot on the ground, on the other hand, will no longer be restricted to controlling a single aircraft and instead will be allowed to control multiple manned and unmanned vehicles, in line with the so-called One-to-Many (OTM) operational concept. 

Important efforts are also being devoted to the integration of Unmanned Aircraft Systems (UAS) in all classes of airspace, eliciting the introduction of UAS Traffic Management (UTM) services seamlessly integrated with the existing (and evolving) ATM framework. In particular, UTM requires substantial advances in Communication, Navigation, Surveillance (CNS) for ATM (CNS/ATM) and Avionics (CNS+A) technologies and associated regulatory frameworks, especially to enable low-altitude and Beyond-Line-of-Sight (BLoS) operations. Recent advances in communications, navigation and Sense-and-Avoid (SAA) technology are therefore progressively supporting UTM operations in medium-to-high density operational environments, including urban environments. Research efforts are also necessary to demonstrate the feasibility of CNS+A technologies capable of contributing to the emission reduction targets set by the International Civil Aviation Organization (ICAO), national governments and various large-scale international research initiatives. Therefore, growing emphasis is now being placed on environmental performance enhancements, focusing on Air Traffic Flow Management (ATFM), dynamic airspace management, 4-dimensional (4D) trajectory optimization, airport automation and, in the near future, urban flight operations. 

In addition to CNS+A technologies for air operations, space CPS and AI-based architectures are also being researched for a wide range of practical applications including commercial satellites, space transport/tourism, and interplanetary scientific missions. In this context, it is anticipated that economically viable and reliable astrionics CPS will play a fundamental role in the successful development of the space sector and significant research efforts are needed in the field of reusable space transportation systems, Space Traffic Management (STM), and Intelligent Satellite Systems (SmartSats). In particular, the operation of space launch and re-entry platforms currently requires considerable airspace segregation provisions, which if continued will become increasingly disruptive to civil air traffic. Moreover, the currently limited space situational awareness is posing significant challenges to the safety and sustainability of spaceflight due to the rapidly growing amount of resident space objects and particularly orbital debris. The deployment of network-centric CNS+A systems and their functional integration with ground-based ATM in a Space Traffic Management (STM) framework will support much more flexible and efficient use of the airspace with higher levels of safety. These evolutions will support the transition to what the research community has started designating as Multi-Domain Traffic Management. 

This Special Issue will focus on innovative works and advances in avionics and astrionics systems. Comprehensive reviews, original research articles, communications, and extended conference articles are welcome to submit for peer review and possible publication.

Prof. Dr. Roberto Sabatini
Dr. Alessandro Gardi
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. Aerospace is an international peer-reviewed open access monthly 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

  • aerospace vehicle
  • aircraft systems
  • spacecraft systems
  • avionics
  • astrionics
  • air traffic management
  • spaceflight
  • robotics
  • autonomous systems
  • guidance, navigation and control
  • unmanned aircraft systems
  • uas traffic management
  • advanced air mobility
  • urban air mobility
  • regional air mobility
  • distributed satellite systems
  • artificial intelligence
  • machine learning
  • digital transformation
  • environmental sustainability
  • sustainable aviation
  • intelligent systems
  • satellite systems
  • distributed space systems
  • space domain awareness
  • space situation awareness
  • space traffic management
  • sensor fusion
  • satellite navigation
  • navigation systems
  • guidance systems
  • control systems
  • integrity monitoring
  • knowledge-based systems
  • safety-critical systems
  • integrity augmentation
  • defense systems
  • intelligence
  • surveillance
  • reconnaissance
  • human–machine systems

Published Papers (3 papers)

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Research

24 pages, 7184 KiB  
Article
Trajectory Predictor and Conflict Detection Figures of Merit for a Performance-Based Adaptive Air Traffic Monitoring System
by Chen Xia, Christian Eduardo Verdonk Gallego, Adrián Fabio Bracero, Víctor Fernando Gómez Comendador and Rosa María Arnaldo Valdés
Aerospace 2024, 11(2), 155; https://doi.org/10.3390/aerospace11020155 - 15 Feb 2024
Viewed by 985
Abstract
This paper investigates the impact of trajectory predictor performance on the encounter probability generated by an adaptive conflict detection tool and examines the flexibility of the tool dependent on its adjustable thresholds, using historical radar track data. To achieve these objectives, two figures [...] Read more.
This paper investigates the impact of trajectory predictor performance on the encounter probability generated by an adaptive conflict detection tool and examines the flexibility of the tool dependent on its adjustable thresholds, using historical radar track data. To achieve these objectives, two figures of merit were proposed: System Dynamic Range and System Tuning Envelope. To examine the conflict detection’s performance variability under different uncertainty levels and predictor types, simple multi-horizon trajectory predictors trained with two machine learning techniques of different characteristics are assessed at various look-ahead times: extreme gradient boosting with a discrete nature and a multi-layer perceptron regressor with a continuous nature. The results highlight the interdependence between the performances of the trajectory predictor and the conflict detector, and the quantification of this relationship can be represented through a sigmoid function. In addition, the two proposed figures of merit are effective for selecting suitable operating points in an adaptive conflict detector, based on dynamic thresholds and the performance requirements necessary for the trajectory predictors to achieve the expected detection performance at different look-ahead time. Full article
(This article belongs to the Special Issue Advances in Avionics and Astrionics Systems)
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29 pages, 9511 KiB  
Article
A Digital-Twin-Based Detection and Protection Framework for SDC-Induced Sinkhole and Grayhole Nodes in Satellite Networks
by Gongzhe Qiao, Yi Zhuang, Tong Ye and Yuan Qiao
Aerospace 2023, 10(9), 788; https://doi.org/10.3390/aerospace10090788 - 7 Sep 2023
Viewed by 922
Abstract
In the space environment, cosmic rays and high-energy particles may cause a single-event upset (SEU) during program execution, and further cause silent data corruption (SDC) errors in program outputs. After extensive research on SEU and SDC errors, it has been found that SDC [...] Read more.
In the space environment, cosmic rays and high-energy particles may cause a single-event upset (SEU) during program execution, and further cause silent data corruption (SDC) errors in program outputs. After extensive research on SEU and SDC errors, it has been found that SDC errors in the routing program in satellite networks may lead to the emergence of Sinkhole (SH) and Grayhole (GH) nodes in the network, which may cause damage to satellite networks. To find and solve the problems in time, a digital-twin-based detection and protection framework for SDC-induced SH and GH nodes in satellite networks is proposed. First, the satellite network fault model under SEU and the generation mechanism of SH and GH nodes induced by SDC errors are described. Then, the data structure based on digital twins required by the proposed detection and protection framework is designed, and the detection methods of SH and GH nodes induced by SDC errors are proposed. SKT and LLFI simulation tools are used to build a simulated Iridium satellite network and carry out fault injection experiments. Experiment results show that the accuracy of the proposed detection method is 98–100%, and the additional time cost of routing convergence caused by the proposed framework is 3.1–28.2%. Compared with existing SH and GH detection methods, the proposed methods can timely and accurately detect faults during the routing update stage. Full article
(This article belongs to the Special Issue Advances in Avionics and Astrionics Systems)
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19 pages, 6671 KiB  
Article
A Distributed Satellite System for Multibaseline AT-InSAR: Constellation of Formations for Maritime Domain Awareness Using Autonomous Orbit Control
by Kathiravan Thangavel, Pablo Servidia, Roberto Sabatini, Pier Marzocca, Haytham Fayek, Santiago Husain Cerruti, Martin España and Dario Spiller
Aerospace 2023, 10(2), 176; https://doi.org/10.3390/aerospace10020176 - 14 Feb 2023
Cited by 7 | Viewed by 2454
Abstract
Space-based Earth Observation (EO) systems have undergone a continuous evolution in the twenty-first century. With the help of space-based Maritime Domain Awareness (MDA), specially Automatic Identification Systems (AIS), their applicability across the world’s waterways, among others, has grown substantially. This research work explores [...] Read more.
Space-based Earth Observation (EO) systems have undergone a continuous evolution in the twenty-first century. With the help of space-based Maritime Domain Awareness (MDA), specially Automatic Identification Systems (AIS), their applicability across the world’s waterways, among others, has grown substantially. This research work explores the potential applicability of Synthetic Aperture Radar (SAR) and Distributed Satellite Systems (DSS) for the MDA operation. A robust multi-baseline Along-Track Interferometric Synthetic Aperture Radar (AT-InSAR) Formation Flying concept is proposed to combine several along-track baseline observations effectively for single-pass interferometry. Simulation results are presented to support the feasibility of implementing this acquisition mode with autonomous orbit control, using low-thrust actuation suitable for electric propulsion. To improve repeatability, a constellation of this formation concept is also proposed to combine the benefits of the DSS. An MDA application is considered as a hypothetical mission to be solved by this combined approach. Full article
(This article belongs to the Special Issue Advances in Avionics and Astrionics Systems)
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