Article
Engineering, Aerospace
Zhi Lin, Hehao Niu, Kang An, Yong Wang, Gan Zheng, Symeon Chatzinotas, Yihua Hu
Summary: This article focuses on joint beamforming design and optimization for RIS-aided hybrid satellite-terrestrial relay networks. By smartly coordinating the passive elements' phase shifts at the RIS, the desired satellite signals at the blocked users can be strengthened. An alternating optimization scheme is proposed to minimize the transmit power of both the satellite and base station while guaranteeing the rate requirements of users.
IEEE TRANSACTIONS ON AEROSPACE AND ELECTRONIC SYSTEMS
(2022)
Article
Engineering, Aerospace
Xin Cui, Changhe Li, Wenfeng Ding, Yun Chen, Cong Mao, Xuefeng Xu, Bo Liu, Dazhong Wang, Hao Nan Li, Yanbin Zhang, Zafar Said, Sujan Debnath, Muhammad Jamil, Hafiz Muhammad Ali, Shubham Sharma
Summary: Replacing flood and dry machining with minimum quantity lubrication (MQL) technology is an inevitable trend of sustainable manufacturing. However, MQL cannot meet the high demand for cooling and lubrication in the machining of aeronautical difficult-to-machine materials. This study focuses on the comprehensive quantitative assessment of tribological characteristics in titanium alloy and nickel alloy machining using nano-biolubricants, specifically non-toxic carbon group nano-enhancers (CGNs), aiming to systematically answer the machining mechanisms under lubrication of CGNs.
CHINESE JOURNAL OF AERONAUTICS
(2022)
Article
Engineering, Aerospace
Zhi Lin, Kang An, Hehao Niu, Yihua Hu, Symeon Chatzinotas, Gan Zheng, Jiangzhou Wang
Summary: This letter investigates secure energy efficient beamforming in multibeam satellite systems. An alternating optimization scheme is proposed to maximize the system secrecy energy efficiency. Simulations are provided to verify the superiority of the proposed scheme.
IEEE TRANSACTIONS ON AEROSPACE AND ELECTRONIC SYSTEMS
(2023)
Article
Engineering, Aerospace
Yang Cao, Yejun Zhu, Wenfeng Ding, Yutong Qiu, Lifeng Wang, Jiuhua Xu
Summary: This article proposes a new method of ultrasonic vibration-assisted grinding (UVAG) and demonstrates its effectiveness in improving the machined surface quality of hard-to-cut materials.
CHINESE JOURNAL OF AERONAUTICS
(2022)
Article
Engineering, Aerospace
Haiqiang Liu, Meibao Yao, Xueming Xiao, Hutao Cui
Summary: Semantic segmentation of Martian terrain is crucial for rover route planning and navigation on Mars. Existing methods perform poorly in the unstructured Martian environment. Therefore, a novel hybrid attention semantic segmentation (HASS) network is proposed, which includes a global intra-class attention branch, a local inter-class attention branch, and a representation merging module. In addition, a panorama semantic segmentation dataset named MarsScapes is established, providing fine-grained annotations for eight semantic categories. Extensive experiments on MarsScapes and the public AI4Mars datasets demonstrate the superiority of the proposed method.
Article
Engineering, Aerospace
Martin C. Weisskopf, Paolo Soffitta, Luca Baldini, Brian D. Ramsey, Stephen L. O'Dell, Roger W. Romani, Giorgio Matt, William D. Deininger, Wayne H. Baumgartner, Ronaldo Bellazzini, Enrico Costa, Jeffery J. Kolodziejczak, Luca Latronico, Herman L. Marshall, Fabio Muleri, Stephen D. Bongiorno, Allyn Tennant, Niccolo Bucciantini, Michal Dovciak, Frederic Marin, Alan Marscher, Juri Poutanen, Pat Slane, Roberto Turolla, William Kalinowski, Alessandro Di Marco, Sergio Fabiani, Massimo Minuti, Fabio La Monaca, Michele Pinchera, John Rankin, Carmelo Sgro', Alessio Trois, Fei Xie, Cheryl Alexander, D. Zachery Allen, Fabrizio Amici, Jason Andersen, Angelo Antonelli, Spencer Antoniak, Primo Attina, Mattia Barbanera, Matteo Bachetti, Randy M. Baggett, Jeff Bladt, Alessandro Brez, Raffaella Bonino, Christopher Boree, Fabio Borotto, Shawn Breeding, Daniele Brienza, H. Kyle Bygott, Ciro Caporale, Claudia Cardelli, Rita Carpentiero, Simone Castellano, Marco Castronuovo, Luca Cavalli, Elisabetta Cavazzuti, Marco Ceccanti, Mauro Centrone, Saverio Citraro, Fabio D'Amico, Elisa D'Alba, Laura Di Gesu, Ettore Del Monte, Kurtis L. Dietz, Niccolo' Di Lalla, Giuseppe Di Persio, David Dolan, Immacolata Donnarumma, Yuri Evangelista, Kevin Ferrant, Riccardo Ferrazzoli, MacKenzie Ferrie, Joseph Footdale, Brent Forsyth, Michelle Foster, Benjamin Garelick, Shuichi Gunji, Eli Gurnee, Michael Head, Grant Hibbard, Samantha Johnson, Erik Kelly, Kiranmayee Kilaru, Carlo Lefevre, Shelley Le Roy, Pasqualino Loffredo, Paolo Lorenzi, Leonardo Lucchesi, Tyler Maddox, Guido Magazzu, Simone Maldera, Alberto Manfreda, Elio Mangraviti, Marco Marengo, Alessandra Marrocchesi, Francesco Massaro, David Mauger, Jeffrey McCracken, Michael McEachen, Rondal Mize, Paolo Mereu, Scott Mitchell, Ikuyuki Mitsuishi, Alfredo Morbidini, Federico Mosti, Hikmat Nasimi, Barbara Negri, Michela Negro, Toan Nguyen, Isaac Nitschke, Alessio Nuti, Mitch Onizuka, Chiara Oppedisano, Leonardo Orsini, Darren Osborne, Richard Pacheco, Alessandro Paggi, Will Painter, Steven D. Pavelitz, Christina Pentz, Raffaele Piazzolla, Matteo Perri, Melissa Pesce-Rollins, Colin Peterson, Maura Pilia, Alessandro Profeti, Simonetta Puccetti, Jaganathan Ranganathan, Ajay Ratheesh, Lee Reedy, Noah Root, Alda Rubini, Stephanie Ruswick, Javier Sanchez, Paolo Sarra, Francesco Santoli, Emanuele Scalise, Andrea Sciortino, Christopher Schroeder, Tim Seek, Kalie Sosdian, Gloria Spandre, Chet O. Speegle, Toru Tamagawa, Marcello Tardiola, Antonino Tobia, Nicholas E. Thomas, Robert Valerie, Marco Vimercati, Amy L. Walden, Bruce Weddendorf, Jeffrey Wedmore, David Welch, Davide Zanetti, Francesco Zanetti
Summary: The Imaging X-ray Polarimetry Explorer (IXPE) is a collaborative mission between NASA and the Italian Space Agency (ASI) that aims to investigate imaging X-ray polarimetry. It features three identical telescopes with polarization-sensitive imaging X-ray detectors, and will conduct precise polarimetry for a 2-year baseline mission.
JOURNAL OF ASTRONOMICAL TELESCOPES INSTRUMENTS AND SYSTEMS
(2022)
Article
Engineering, Aerospace
Ya Tu, Yun Lin, Haoran Zha, Ju Zhang, Yu Wang, Guan Gui, Shiwen Mao
Summary: This article introduces a large-scale real-world radio signal dataset based on the ADS-B system, which is used to support the application of deep learning in radio signal recognition. The authors designed an automatic data collection and labeling system, and created a high-quality dataset through data cleaning and sorting. Furthermore, the authors conducted performance studies on deep learning models trained with this dataset and compared them with traditional machine learning methods.
CHINESE JOURNAL OF AERONAUTICS
(2022)
Review
Engineering, Aerospace
Xu Jiang, Min Sheng, Nan Zhao, Chengwen Xing, Weidang Lu, Xianbin Wang
Summary: This article presents a comprehensive survey on green UAV communications for 6G, including typical UAVs and their energy consumption models, trends in green UAV communications, applications and designs, as well as promising techniques and open research issues.
CHINESE JOURNAL OF AERONAUTICS
(2022)
Article
Engineering, Aerospace
Xiaohong Zheng, Hongyi Li, Choon Ki Ahn, Deyin Yao
Summary: This article focuses on the fixed-time fault-tolerant attitude tracking control problem for multiple unmanned aerial vehicles (MUAVs) with nonaffine nonlinear faults. The command filter and neural networks (NNs) are employed to handle unknown nonlinearities in MUAVs, and the update law of NN is developed via convex optimization technique. The article also solves the algebraic loop problem caused by nonaffine nonlinear faults using the Butterworth low-pass filter, and utilizes the curve-fitting method to construct a piecewise virtual control signal to avoid the singularity problem in fixed-time control. Furthermore, a general fixed-time stability criterion is adopted to prove the stability of MUAVs in fixed time.
IEEE TRANSACTIONS ON AEROSPACE AND ELECTRONIC SYSTEMS
(2023)
Article
Engineering, Aerospace
Xiangwei Bu, Baoxu Jiang, Humin Lei
Summary: This article proposes a new nonfragile prescribed performance control method for waverider vehicles, which guarantees quantitative prescribed performance in the presence of actuator saturation.
IEEE TRANSACTIONS ON AEROSPACE AND ELECTRONIC SYSTEMS
(2022)
Article
Engineering, Aerospace
Bo LI, Wei Tian, Chufan Zhang, Fangfang Hua, Guangyu Cui, Yufei LI
Summary: This paper proposes a neural-network-based approach to improve the positioning accuracy of industrial robots. By optimizing a neural network to model and predict positioning errors, the predicted errors are utilized for compensation in the robot's workspace. Experimental results demonstrate a significant reduction in positioning errors and an increase in the robot's accuracy.
CHINESE JOURNAL OF AERONAUTICS
(2022)
Review
Engineering, Aerospace
Gongnan Xie, Xiaoxiao Xu, Xianliang Lei, Zhouhang Li, Yong Li, Bengt Sunden
Summary: This paper presents a comprehensive review on the heat transfer behaviors of supercritical fluids in engineering applications. The common problems in the field of supercritical fluids are summarized, and future prospects are also discussed.
CHINESE JOURNAL OF AERONAUTICS
(2022)
Article
Engineering, Aerospace
Chenguang Shi, Yijie Wang, Sana Salous, Jianjiang Zhou, Junkun Yan
Summary: This article proposes a JTRMWS strategy for target tracking in distributed phased array radar networks, which models the joint optimization of transmit resources and waveforms as a dual-objective optimization problem. The proposed strategy aims to improve the target tracking accuracy and low probability of intercept (LPI) performance by coordinating transmit power, dwell time, waveform bandwidth, and pulse length of each radar node. Analytical expressions for the Bayesian Cramer-Rao lower bound and probability of intercept are calculated and used as metric functions to evaluate tracking accuracy and LPI performance. The JTRMWS problem is solved using a three-stage-based solution technique combined with the particle swarm optimization algorithm.
IEEE TRANSACTIONS ON AEROSPACE AND ELECTRONIC SYSTEMS
(2022)
Article
Engineering, Aerospace
Emad Sobhani, Amir R. Masoodi, Omer Civalek, Amir Reza Ahmadi-Pari
Summary: This paper investigates the vibrational behavior of CHCCS structures reinforced with nanofillers, focusing on the agglomeration effect and distribution patterns of the nanofillers. The authors use Donnell's shell theory and FOSDT to obtain displacement fields, and employ the GDQ method for numerical solutions of differential equations.
AEROSPACE SCIENCE AND TECHNOLOGY
(2022)
Article
Engineering, Aerospace
Chen Chen, Zhan Liao, Ying Ju, Ci He, Keping Yu, Shaohua Wan
Summary: This article introduces a hierarchical domain-based SDN-enabled SAGIN architecture and proposes a multi-controller deployment strategy. Simulation results show that this strategy is effective in reducing network delay and improving controller load.
IEEE TRANSACTIONS ON AEROSPACE AND ELECTRONIC SYSTEMS
(2022)
Letter
Engineering, Aerospace
Joe Khalife, Mohammad Neinavaie, Zaher Zak Kassas
Summary: This letter presents the first results of carrier phase tracking and positioning using Starlink's low earth orbit (LEO) satellite signals. An adaptive Kalman filter algorithm is proposed for tracking the carrier phase of unknown Starlink signals. The experimental results demonstrate successful carrier phase tracking of six Starlink satellites and achieve a horizontal positioning error of 7.7 m with known receiver altitude.
IEEE TRANSACTIONS ON AEROSPACE AND ELECTRONIC SYSTEMS
(2022)
Review
Engineering, Aerospace
Qile Zhao, Jing Guo, Chen Wang, Yifei Lyu, Xiaolong Xu, Chao Yang, Junqiang Li
Summary: This article summarizes the achievements in the precise orbit determination of China's BeiDou Navigation Satellite System (BDS) in the past decade, focusing on observation and orbit dynamic models. It presents the disclosed metadata of BDS satellites, the status of accessible ground networks, and the measurement scheme of BDS Inter-Satellite-Link (ISL) data. It also highlights the progress on observation models and orbit perturbations for BDS, and summarizes different POD strategies used. Furthermore, it emphasizes the urgent requirement for error modeling of the ISL data and identifies areas for further research.
SATELLITE NAVIGATION
(2022)
Article
Engineering, Aerospace
Yuanxi Yang, Qun Ding, Weiguang Gao, Jinlong Li, Yangyin Xu, Bijiao Sun
Summary: This paper introduces the basic technical framework and performance of the BeiDou Global Navigation Satellite System (BDS-3) Satellite-Based Augmentation System (BDSBAS) and Precise Point Positioning (PPP-B2b), discusses their similarities and differences, and analyzes their limitations. The study shows that co-construction of BDSBAS and PPP-B2b is feasible, and strategies for infrastructure sharing and correction broadcasting are proposed.
SATELLITE NAVIGATION
(2022)
Article
Engineering, Aerospace
Yuanyuan Guo, Youchao Sun, Yide He, Fangzhou Du, Siyu Su, Chong Peng
Summary: With the widespread use of sensor technology, airlines have gathered a large amount of flight data during fleet operations. While the current application of Quick Access Recorder (QAR) mainly focuses on accident investigation and verification, it fails to utilize real-time data for safety monitoring, risk prediction, and early warning. This article proposes a data-driven integrated safety risk warning model based on deep learning. By combining QAR data and aircraft system failures, methods such as failure mode and impact analysis, cause chain analysis, and Long Short-Term Memory are used to describe the development of risks caused by system failures and predict the trend of flight parameters, thereby improving the predictive ability of aviation system risks and risk severity. The safety risk warning model is validated using the aircraft refrigeration system as a case study, calculating the potential risk level and identifying hidden hazard sources in civil aircraft operation in advance to enhance the safety level of civil aviation operation.
IEEE TRANSACTIONS ON AEROSPACE AND ELECTRONIC SYSTEMS
(2023)
Review
Engineering, Aerospace
Ziquan Yu, Youmin Zhang, Bin Jiang, Jun Fu, Ying Jin
Summary: This paper presents recent developments in Fault-Tolerant Cooperative Control (FTCC) of multiple unmanned aerial vehicles (multi-UAVs). It summarizes and analyzes the formation control strategies under fault-free flight conditions, as well as the state-of-the-art developments on individual, leader-following, and distributed FTCC schemes for multi-UAVs.
CHINESE JOURNAL OF AERONAUTICS
(2022)
