Article
Chemistry, Analytical
Joshua J. R. Critchley-Marrows, Xiaofeng Wu, Iver H. Cairns
Summary: Recent literature has explored the use of sole attitude determination devices, particularly star trackers, for accurate and precise measurement of angular velocity. The state approach is found to be more effective than error-based filtering in this aspect, providing important implications for space situational awareness object localization.
Article
Engineering, Aerospace
Brian G. Coulter, Daning Huang, Zhenbo Wang
Summary: This paper discusses the importance of integrated design frameworks covering high-fidelity disciplinary models such as aerodynamics and trajectory modeling, and introduces an energy-based problem formulation and optimization method for hypersonic vehicle design. Finally, a novel, iterative, data-driven framework is established using Bayesian optimization and machine learning to integrate these disciplinary models and successively search for the geometry that enables optimal mission performance.
JOURNAL OF AIRCRAFT
(2022)
Article
Engineering, Aerospace
Wanqing Zhang, Wanchun Chen, Wenbin Yu
Summary: This paper presents high-precision analytical solutions for hypersonic gliding trajectories over the rotating and spherical Earth using the regular perturbation method. The new model established based on the generalized equator and latitude captures the trajectory characteristic well. By skillfully simplifying the model, a reduced-order system is obtained capable of predicting the 3-D trajectory, although the coupling between crossrange and heading angle remains a challenge to be overcome.
Article
Chemistry, Analytical
Chien-Yu Lin, Lih-Jen Kau, Ching-Yao Chan
Summary: This study presents a pedestrian trajectory prediction algorithm based on the bimodal extended Kalman filter, which takes advantage of the dual-state nature of pedestrian movement. The model considers social interaction among pedestrians and surrounding obstacles, using less than fifty parameters.
Article
Mathematics
Jiarui Ma, Hongbo Chen, Jinbo Wang, Qiliang Zhang
Summary: This paper presents an enhanced sequential convex programming algorithm for the hypersonic entry problem, using adaptive non-uniform discretization. An inverse-free precise discretization based on first-order hold discretization is adopted to achieve high accuracy solution with fewer temporal nodes, but it leads to constraint violation between the temporal nodes due to the sparse time grid. To overcome this limitation, an adaptive non-uniform discretization is developed, which uses penalty terms to purposefully cluster the discrete points. Numerical results demonstrate that this method has fast convergence with high accuracy, and satisfies all path constraints over the time horizon, implying potential for real-time trajectory planning.
Article
Chemistry, Analytical
Ning Liu, Wenhao Qi, Zhong Su, Qunzhuo Feng, Chaojie Yuan
Summary: This paper presents an extended Kalman filter for a low-cost MARG sensor system. By combining a two-stage gradient descent algorithm and the extended Kalman filter, the filter's performance is improved, showing better anti-interference performance, dynamic performance, and measurement accuracy.
Article
Engineering, Electrical & Electronic
Zeyang Dai, Lei Jing
Summary: The paper introduces a novel low-power consumption orientation estimation method, demonstrating good performance in MARG sensors through a lightweight quaternion-based Extended Kalman Filter (LEKF). Experimental results show that the proposed filter exhibits good stability and efficiency in various application scenarios.
IEEE SENSORS JOURNAL
(2021)
Article
Engineering, Multidisciplinary
Yihan Cao, Xiongzhu Bu, Miaomiao Xu, Haoqing Yang
Summary: The study investigated the fault diagnosis method of Infrared Focal Plane Array (IRFPA) and proposed an adaptive fault-tolerant extended Kalman filter algorithm to improve anti-jamming ability and maintain attitude estimation accuracy in different infrared interference scenarios.
Article
Engineering, Electrical & Electronic
Gongxu Liu, Baoguo Yu, Lingfeng Shi, Ruicai Jia
Summary: This article proposes a virtual-measurement-combined extended Kalman filter (VMC-EKF) method that combines the carrier's motion state for attitude estimation, eliminating the requirement for uniform observability. Through a series of experiments, it is shown that the method can achieve fast convergence of attitude estimation and avoid the divergence of position estimation compared with state-of-the-art methods.
IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT
(2021)
Article
Engineering, Marine
Lubin Chang
Summary: In this paper, the traditional multiplicative extended Kalman filter (MEKF) is reinvestigated for attitude estimation using vector observations. It is shown that the attitude estimation model is group-affine and its error state model should be trajectory-independent. By substituting attitude prediction related term with vector observations, a trajectory-independent measurement model is derived for MEKF. Extensive Monte Carlo simulations demonstrate that MEKFs with trajectory-independent measurement models can greatly improve performance.
JOURNAL OF NAVIGATION
(2023)
Article
Computer Science, Information Systems
Dah-Jing Jwo
Summary: This study aims to solve the problems in attitude determination using GPS data by rapidly and accurately estimating with EKF and quaternions. The proposed algorithm avoids singularity issues through quaternion-based methods and improves estimation accuracy.
CMC-COMPUTERS MATERIALS & CONTINUA
(2021)
Article
Engineering, Multidisciplinary
Hailong Rong, Yanping Zhu, Jidong Lv, Yang Chen, Cuiyun Peng, Ling Zou
Summary: Extended Kalman Filter (EKF) and Complementary Filter (CF) are commonly used attitude determination algorithms, with the main difference being the gain matrix used for attitude update. Mathematical derivation shows that CF is an approximation to EKF, and in low sampling rate conditions, EKF is more stable than CF.
Article
Engineering, Electrical & Electronic
Hailong Rong, Cuiyun Peng, Yang Chen, Jidong Lv, Ling Zou
Summary: This study analyzed the reasons for the performance difference between the extended Kalman filter (EKF) and complementary filters (CFs) in attitude calculation, and proposed a new time-efficient complementary Kalman gain filter (TCF).
IEEE SENSORS JOURNAL
(2022)
Article
Computer Science, Information Systems
Min Seok Lee, Jungmin Park, Chan Gook Park
Summary: This paper proposes a novel augmented Kalman filter-based attitude reference system (ARS) that uses an inertial sensor comprised of a tri-axial gyroscope and a tri-axial accelerometer. The proposed method effectively compensates for non-gravitational acceleration and accurately estimates attitude by adaptively eliminating non-gravitational acceleration using a rotational motion detector. Experimental validation conducted under diversified scenarios demonstrates the robustness and accuracy of the proposed method, outperforming conventional methods and the MTx algorithm.
Article
Engineering, Aerospace
Z. Li, J. Guo, S. Tang, S. Ji
Summary: This study proposes a multiple-vehicles time-coordination guidance technique based on deep learning to tackle the cooperative guiding problem of hypersonic gliding vehicle entry phase. A dual-parameter bank angle profile is utilized for longitudinal guiding, supported by a vehicle trajectory database and a deep neural network (DNN) structure. An extended Kalman filter is also constructed for real-time detection of changes in aerodynamic parameters, which are fed into the DNN. The lateral guiding adopts a logic based on the segmented heading angle error corridor. The results show that the built DNN effectively addresses the cooperative guiding requirements with high accuracy, fast response time, and ability to handle disruptions in aerodynamic parameters without inter-munition communication.
AERONAUTICAL JOURNAL
(2023)
Article
Engineering, Aerospace
E. C. Lorenzini, C. Bettanini, G. Colombatti, A. Valmorbida
Article
Astronomy & Astrophysics
P. Cambianica, M. Fulle, G. Cremonese, E. Simioni, G. Naletto, M. Massironi, L. Penasa, A. Lucchetti, M. Pajola, I. Bertini, D. Bodewits, C. Ceccarelli, F. Ferri, S. Fornasier, E. Frattin, C. Guettler, P. J. Gutierrez, H. U. Keller, E. Kuehrt, M. Kuppers, F. La Forgia, M. Lazzarin, F. Marzari, S. Mottola, H. Sierks, I. Toth, C. Tubiana, J. -B. Vincent
ASTRONOMY & ASTROPHYSICS
(2020)
Review
Astronomy & Astrophysics
G. Cremonese, F. Capaccioni, M. T. Capria, A. Doressoundiram, P. Palumbo, M. Vincendon, M. Massironi, S. Debei, M. Zusi, F. Altieri, M. Amoroso, G. Aroldi, M. Baroni, A. Barucci, G. Bellucci, J. Benkhoff, S. Besse, C. Bettanini, M. Blecka, D. Borrelli, J. R. Brucato, C. Carli, V Carlier, P. Cerroni, A. Cicchetti, L. Colangeli, M. Dami, V Da Deppo, V Della Corte, M. C. De Sanctis, S. Erard, F. Esposito, D. Fantinel, L. Ferranti, F. Ferri, I. Ficai Veltroni, G. Filacchione, E. Flamini, G. Forlani, S. Fornasier, O. Forni, M. Fulchignoni, V Galluzzi, K. Gwinner, W. Ip, L. Jorda, Y. Langevin, L. Lara, F. Leblanc, C. Leyrat, Y. Li, S. Marchi, L. Marinangeli, F. Marzari, E. Mazzotta Epifani, M. Mendillom, V Mennella, R. Mugnuolo, K. Muinonen, G. Naletto, R. Noschese, E. Palomba, R. Paolinetti, D. Perna, G. Piccioni, R. Politi, F. Poulet, R. Ragazzoni, C. Re, M. Rossi, A. Rotundi, G. Salemi, M. Sgavetti, E. Simioni, N. Thomas, L. Tommasi, A. Turella, T. Van Hoolst, L. Wilson, F. Zambon, A. Aboudan, O. Barraud, N. Bott, P. Borin, G. Colombatti, M. El Yazidi, S. Ferrari, J. Flahaut, L. Giacomini, L. Guzzetta, A. Lucchetti, E. Martellato, M. Pajola, A. Slemer, G. Tognon, D. Turrini
SPACE SCIENCE REVIEWS
(2020)
Review
Astronomy & Astrophysics
Francesca Ferri, Giacomo Colombatti, Alessio Aboudan, Carlo Bettanini, Stefano Debei, Ari Matti Harri, Jean Pierre Lebreton, Franck Montmessin, Jean Jacques Berthelier, Alice LeGall, Ronan Modolo, Karen Aplin, Athena Coustenis
SPACE SCIENCE REVIEWS
(2020)
Article
Engineering, Aerospace
C. Bettanini, M. Bartolomei, A. Aboudan, G. Colombatti, L. Olivieri
Summary: Light pollution is a growing concern for astronomical observations, ecosystem preservation, and quality of human life. The current method of mapping ground sources using satellite images has limited resolution, especially for blue cold LEDs which are poorly detected from space. The MINLU autonomous payload was designed to provide detailed aerial observations and monitor sky brightness. The system can be integrated on balloons or drones and achieves higher resolution compared to satellite images. The payload has been successfully launched and allows continuous observation of sky brightness from ground to stratospheric altitudes. The on-board cameras also quantify ground emission and track the sources causing artificial luminance of the sky.
Article
Astronomy & Astrophysics
Alessio Aboudan, Andrea Bulgarelli, Valentina Fioretti, Andrea Giuliani, Marco Tavani, Stefano Debei
Summary: The article discusses a method for silicon-based pair tracking telescopes in gamma-ray astronomy, as well as its applications in the field. The algorithm allows for maintaining multiple hypotheses about particle tracks and implementing statistically meaningful measurement selection. Results show that the method can effectively evaluate photon direction and energy, as well as optimize performance.
ASTROPHYSICAL JOURNAL
(2022)
Article
Engineering, Aerospace
Alexandru Andrei Avram, Carlo Bettanini, Sebastiano Chiodini, Alessio Aboudan, Giacomo Colombatti, Marco Giuliani
Summary: This article presents a study on optimizing the orbital configuration of a three-axis stabilized 6U LEO nanosatellite. The study focuses on accommodating a polarized calibrator designed for transmitting calibrated signals to seven ground telescopes dedicated to cosmic microwave background detection. The study aims to maximize visibility windows and revisit time through orbit selection and active attitude control, considering no possibility of orbital mobility.
IEEE AEROSPACE AND ELECTRONIC SYSTEMS MAGAZINE
(2022)
Article
Astronomy & Astrophysics
S. Cavazzani, P. Fiorentin, C. Bettanini, M. Bartolomei, C. Bertolin, S. Ortolani, A. Bertolo, R. Binotto, L. Olivieri, A. Aboudan, G. Colombatti
Summary: This study describes a novel approach to evaluate the atmospheric propagation of artificial light at night (ALAN), focusing on the dependence on altitude and aerosols. The method involves an experiment using a sounding balloon equipped with two sky-quality meters (SQM) and data analysis to model the light propagation from a few hundred meters up to 30 km altitude. The results validate a theoretical model and provide important experimental data on the influence of aerosols and altitude on ALAN propagation.
MONTHLY NOTICES OF THE ROYAL ASTRONOMICAL SOCIETY
(2022)
Article
Astronomy & Astrophysics
N. Parmiggiani, A. Bulgarelli, A. Ursi, A. Macaluso, A. Di Piano, V. Fioretti, A. Aboudan, L. Baroncelli, A. Addis, M. Tavani, C. Pittori
Summary: AGILE is a space mission launched in 2007 to study X-ray and gamma-ray astronomy. The AGILE team developed real-time analysis pipelines to detect transient phenomena such as gamma-ray bursts (GRBs) and react to external science alerts received by other facilities. The AGILE anticoincidence system (ACS) comprises five panels surrounding the AGILE detectors to reject background-charged particles and detect hard X-ray photons.
ASTROPHYSICAL JOURNAL
(2023)
Article
Engineering, Aerospace
Gabriel Borderes-Motta, Gabriel de Haro-Pizarroso, Gangqiang Li, Hanze Yu, Zheng H. Zhu, Giulia Sarego, Giacomo Colombatti, Enrico C. Lorenzini, Jesse K. McTernan, Brian E. Gilchrist, Sven G. Bilen, Satomi Kawamoto, Yasushi Ohkawa, Gonzalo Sanchez-Arriaga
Summary: Five electrodynamic tether simulators have been cross-verified through simulations of increasing complexity. They were tested for various scenarios, including the non-sphericity of the Earth, different tether configurations, and environmental factors. The results show consistent performance among the five simulators, despite their different models and assumptions. The simulation data and visualization software are publicly available.
Article
Engineering, Electrical & Electronic
Carlo Bettanini, Mirco Bartolomei, Pietro Fiorentin, Alessio Aboudan, Stefano Cavazzani
Summary: The presence of artificial light at night is causing limitations in astronomical observations and has negative effects on human health and wildlife behavior. To monitor artificial light emissions and their changes over time, new measurement systems are required. The Misurazione dell' INquinamento LUminoso autonomous payload, designed and tested at the University of Padova, offers complete aerial observations of artificial light sources over extended areas and can be integrated on stratospheric balloons or drones.
IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING
(2023)
Proceedings Paper
Engineering, Aerospace
C. Bettanini, P. Fiorentin, A. Dumitriu, E. E. Conte, F. Accatino, E. Cagnato, O. Kahol, M. Ghedin, D. Celadin, N. Magro, M. Bedendo, A. Aboudan, G. Colombatti
2020 IEEE 7TH INTERNATIONAL WORKSHOP ON METROLOGY FOR AEROSPACE (METROAEROSPACE)
(2020)
Article
Astronomy & Astrophysics
V Fioretti, A. Bulgarelli, M. Tavani, S. Sabatini, A. Aboudan, A. Argan, P. W. Cattaneo, A. W. Chen, I Donnarumma, F. Longo, M. Galli, A. Giuliani, M. Marisaldi, N. Parmiggiani, A. Rappoldi
ASTROPHYSICAL JOURNAL
(2020)
