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Journal articles on the topic 'Astrodynamics and space situational awareness'

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Author: Grafiati

Published: 10 December 2022

Last updated: 28 January 2023

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1

Luo, Ya-Zhong, Pierluigi Di Lizia, and Zhen Yang. "Message from the Guest Editors of the Special Issue on Astrodynamics for Space Situational Awareness." Astrodynamics 6, no. 2 (May 18, 2022): 93–94. http://dx.doi.org/10.1007/s42064-022-0139-z.

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2

Surdi, Swapnil Anil. "Space Situational Awareness through Blockchain technology." Journal of Space Safety Engineering 7, no. 3 (September 2020): 295–301. http://dx.doi.org/10.1016/j.jsse.2020.08.004.

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3

Wang, Beichao, Shuang Li, Jinzhen Mu, Xiaolong Hao, Wenshan Zhu, and Jiaqian Hu. "Research Advancements in Key Technologies for Space-Based Situational Awareness." Space: Science & Technology 2022 (June 18, 2022): 1–31. http://dx.doi.org/10.34133/2022/9802793.

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The space environment has become highly congested due to the increasing space debris, seriously threatening the safety of orbiting spacecraft. Space-based situational awareness, as a comprehensive capability of threat knowledge, analysis, and decision-making, is of significant importance to ensure space security and maintain normal order. Various space situational awareness systems have been designed and launched. Data acquisition, target recognition, and monitoring constituting key technologies make major contributions, and various advanced algorithms are explored as technical supports. However, comprehensive reviews of these technologies and specific algorithms rarely emerge. It disadvantages the future development of space situational awareness. Therefore, this paper further reviews and analyzes research advancements in key technologies for space situational awareness, emphasizing target recognition and monitoring. Many mature and emerging methods are presented for these technologies while discussing application advantages and limitations. Specially, the research prospects of multiagent and synergetic constellation technologies are expected for future situational awareness. This paper indicates the future directions of the key technologies, aiming to provide references for space-based situational awareness to realize space sustainability.

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4

Cohen, Gregory, Saeed Afshar, Brittany Morreale, Travis Bessell, Andrew Wabnitz, Mark Rutten, and André van Schaik. "Event-based Sensing for Space Situational Awareness." Journal of the Astronautical Sciences 66, no. 2 (January 3, 2019): 125–41. http://dx.doi.org/10.1007/s40295-018-00140-5.

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5

Donath, Th, T. Schildknecht, V. Martinot, and L. Del Monte. "Possible European systems for space situational awareness." Acta Astronautica 66, no. 9-10 (May 2010): 1378–87. http://dx.doi.org/10.1016/j.actaastro.2009.10.036.

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6

Yunpeng, Hu, Li Kebo, Liang Yan'gang, and Chen Lei. "Review on strategies of space-based optical space situational awareness." Journal of Systems Engineering and Electronics 32, no. 5 (October 2021): 1152–66. http://dx.doi.org/10.23919/jsee.2021.000099.

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7

Takano, Andrew T., and Belinda G. Marchand. "Numerical Coverage Analysis for Space-Based Space Situational Awareness Applications." Journal of Spacecraft and Rockets 51, no. 2 (March 2014): 533–44. http://dx.doi.org/10.2514/1.a32623.

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8

Bobrinsky, N., and L. Del Monte. "The space situational awareness program of the European Space Agency." Cosmic Research 48, no. 5 (October 2010): 392–98. http://dx.doi.org/10.1134/s0010952510050035.

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9

Kaiser, Stefan A. "Legal and policy aspects of space situational awareness." Space Policy 31 (February 2015): 5–12. http://dx.doi.org/10.1016/j.spacepol.2014.11.002.

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10

Erokhin, V. I., A. P. Kadochnikov, S. V. Sotnikov, A. A. Vaganov, and D. A. Valeryanov. "MODEL FOR ASSESSING SITUATIONAL AWARENESS OF SPACE SYSTEM." Issues of radio electronics, no. 3 (March 20, 2019): 83–91. http://dx.doi.org/10.21778/2218-5453-2019-3-83-91.

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The paper presents a mathematical model for assessing the situational awareness of the space system. The model includes a set of algorithms, the main ones being the algorithm for simulating the motion of a spacecraft in a highly elliptical orbit, the algorithm for determining the observability of a given controlled area by a given spacecraft in a highly elliptical orbit at a given time, and the algorithm for determining the observability of a given controlled area by a spacecraft in a geostationary orbit. The model allows the assessment of the information capabilities of a space system of various ballistic structures and compositions. A model numerical example is considered, which makes it possible to compare observability indices of a given control region with two possible variants of a ballistic construction of a spacecraft constellation. The results of the numerical experiment showed the correctness of the proposed mathematical model.

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11

Grujdin, Ion. "Human-Machine Shared Situational Awareness." Land Forces Academy Review 27, no. 4 (December 1, 2022): 376–85. http://dx.doi.org/10.2478/raft-2022-0046.

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Abstract As unmanned platforms are more and more present in battlefield, alongside humans, in different configurations (from tele-operated to fully autonomous platforms, manned-unmanned teaming, swarming, etc.) and domains (space, air, land, sea, and underwater), it is also necessary for decision-making process to adapt to this new reality. This process will no longer be exclusively human and this requires that humans and machines share a common, meaningful, and timely understanding of the context in which they act and interact, namely a common situational awareness. We will investigate how this objective could be achieved by means of AI-related techniques of inference and reasoning based on ontologies that will enable all levels of information sharing (data, knowledge, and models) among all participants, humans and non-humans. The success of this undertaking shall be reflected by the achievement of a high level of interoperability between heterogeneous entities, within which they will be able to take advantage of each other’s best developed abilities.

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12

Bevilacqua, Riccardo, Mrinal Kumar, Terry Alfriend, Holger Krag, and Luciano Anselmo. "Special issue on Space Situational Awareness from the 1st International Academy of Astronautics Conference on Space Situational Awareness or ICSSA 2017." Acta Astronautica 155 (February 2019): 367–68. http://dx.doi.org/10.1016/j.actaastro.2019.02.027.

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13

Holzinger, Marcus J. "Using Magnetometers for Space Object Characterization in Space Situational Awareness Applications." Journal of Guidance, Control, and Dynamics 37, no. 5 (September 2014): 1397–405. http://dx.doi.org/10.2514/1.g000523.

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14

Chen, Yutao, Guoqing Tian, Junyou Guo, and Jie Huang. "Task Planning for Multiple-Satellite Space-Situational-Awareness Systems." Aerospace 8, no. 3 (March 12, 2021): 73. http://dx.doi.org/10.3390/aerospace8030073.

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Space situational awareness (SSA) plays an important role in maintaining space advantages. Task planning is one of the key technologies in SSA to allocate multiple tasks to multiple satellites, so that a satellite may be allocated to supervise multiple space objects, and a space object may be supervised by multiple satellites. This paper proposes a hierarchical and distributed task-planning framework for SSA systems with focus on fast and effective task planning customized for SSA. In the framework, a global task-planner layer performs satellite and object clustering, so that satellites are clustered into multiple unique clusters on the basis of their positions, while objects are clustered into multiple possibly intersecting clusters, hence allowing for a single object to be supervised by multiple satellites. In each satellite cluster, a local task planner performs distributed task planning using the contract-net protocol (CNP) on the basis of the position and velocity of satellites and objects. In addition, a customized discrete particle swarm optimization (DPSO) algorithm was developed to search for the optimal task-planning result in the CNP. Simulation results showed that the proposed framework can effectively achieve task planning among multiple satellites and space objects. The efficiency and scalability of the proposed framework are demonstrated through static and dynamic orbital simulations.

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15

Delande, Emmanuel, Carolin Frueh, Jose Franco, Jérémie Houssineau, and Daniel Clark. "Novel Multi-Object Filtering Approach for Space Situational Awareness." Journal of Guidance, Control, and Dynamics 41, no. 1 (January 2018): 59–73. http://dx.doi.org/10.2514/1.g002067.

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16

Bryant, Larry W. "Situational Awareness: a Cornerstone of Operational Excellence in Space." Journal of Aerospace Technology and Management 7, no. 2 (May 30, 2015): 141–42. http://dx.doi.org/10.5028/jatm.v7i2.479.

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17

Lu, Wanjie, Qing Xu, Chaozhen Lan, Liang Lyu, Yang Zhou, Qunshan Shi, and Yinghao Zhao. "Microservice-Based Platform for Space Situational Awareness Data Analytics." International Journal of Aerospace Engineering 2020 (January 6, 2020): 1–22. http://dx.doi.org/10.1155/2020/8149034.

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The development, deployment, and maintenance of the current space situational awareness (SSA) information system have become increasingly complex. However, researchers cannot flexibly and conveniently apply the research results to practical applications due to the lack of basic research platforms for SSA. Inspired by X as a Service (XaaS), we propose the microservice-based platform for SSA data analytics to provide a scaffold-like platform for researchers. Based on microservice, the architecture for this platform is proposed to meet the requirements of flexible development and loosely coupled deployment. To facilitate the use of the platform, the hybrid data service layer is established to provide basic data for research and the functional service layer is designed to provide services for clients and applications. Due to the massive data processing requirements, the data analysis architecture and processing model, which can easily integrate various user-defined algorithms and significantly improve the computational efficiency, are proposed based on the Lambda architecture. To verify the platform’s effectiveness, two cases are established and implemented. The results show that this platform can provide a convenient, flexible, and efficient platform for the requirements of algorithm integration, experiment, and data display from users and researchers.

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18

Schwadron, Nathan. "Near-Real-Time Situational Awareness of Space Radiation Hazards." Space Weather 10, no. 10 (October 2012): n/a. http://dx.doi.org/10.1029/2012sw000860.

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19

Tanaka, Kentaro. "Applicability of remote sensing policies to space situational awareness." Space Policy 42 (November 2017): 83–91. http://dx.doi.org/10.1016/j.spacepol.2017.06.002.

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20

Yates, J. M., B. W. Spanbauer, and J. T. Black. "Geostationary orbit development and evaluation for space situational awareness." Acta Astronautica 81, no. 1 (December 2012): 256–72. http://dx.doi.org/10.1016/j.actaastro.2012.05.011.

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21

Hilton, Samuel, Federico Cairola, Alessandro Gardi, Roberto Sabatini, Nichakorn Pongsakornsathien, and Neta Ezer. "Uncertainty Quantification for Space Situational Awareness and Traffic Management." Sensors 19, no. 20 (October 9, 2019): 4361. http://dx.doi.org/10.3390/s19204361.

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This paper presents a sensor-orientated approach to on-orbit position uncertainty generation and quantification for both ground-based and space-based surveillance applications. A mathematical framework based on the least squares formulation is developed to exploit real-time navigation measurements and tracking observables to provide a sound methodology that supports separation assurance and collision avoidance among Resident Space Objects (RSO). In line with the envisioned Space Situational Awareness (SSA) evolutions, the method aims to represent the navigation and tracking errors in the form of an uncertainty volume that accurately depicts the size, shape, and orientation. Simulation case studies are then conducted to verify under which sensors performance the method meets Gaussian assumptions, with a greater view to the implications that uncertainty has on the cyber-physical architecture evolutions and Cognitive Human-Machine Systems required for Space Situational Awareness and the development of a comprehensive Space Traffic Management framework.

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22

Pond, Philip. "The space between us: Twitter and crisis communication." International Journal of Disaster Resilience in the Built Environment 7, no. 1 (February 8, 2016): 40–48. http://dx.doi.org/10.1108/ijdrbe-08-2013-0030.

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Purpose A key concept within the wider practice of crisis informatics is situational awareness, which refers to the way that social media can be used to provide local, situation-specific information. This information may be used for disaster response communication and resilience building. The purpose of this study is to argue that, in this context, situational awareness relies on an overly literal interpretation of information sent via the micro-blogging service Twitter. Design/methodology/approach The paper reviews relevant literature, including work that seeks to establish social media as a key tool in terms of crisis informatics. It discusses relevant theoretical debates and uses recent examples to interrogate these concepts. Findings The paper identifies several issues that complicate the interpretation and application of information from Twitter during crises. Not only can misinformation circulate during disaster events, the relationship between complex meaning-making processes, taking place both online and offline, is not yet well-understood. Locating digital data in physical time and space can better illuminate the dynamics of communication on Twitter. Research limitations/implications This is a theoretical discussion paper. It requires empirical work to question and to develop its theoretical findings. Practical implications The paper discusses implications for designing crisis informatics tools. It suggests that the cross-referencing of data may assist in the verification and interpretation of tweet content in regards to situational awareness. Originality/value This paper advances an important theoretical discussion with practical implications in an emergent field in crisis communication. It highlights the importance of focusing on temporal and spatial parameters for better evaluating situational awareness.

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23

Biria, Ashley D., and Belinda G. Marchand. "Constellation Design for Space-Based Space Situational Awareness Applications: An Analytical Approach." Journal of Spacecraft and Rockets 51, no. 2 (March 2014): 545–62. http://dx.doi.org/10.2514/1.a32622.

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24

Oltrogge, Daniel L., and Salvatore Alfano. "The technical challenges of better Space Situational Awareness and Space Traffic Management." Journal of Space Safety Engineering 6, no. 2 (June 2019): 72–79. http://dx.doi.org/10.1016/j.jsse.2019.05.004.

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25

HU, YunPeng, KeBo LI, and Lei CHEN. "Toward space situational awareness: A space-based autonomous optical tracking method for space objects." SCIENTIA SINICA Technologica 51, no. 4 (October 28, 2020): 424–34. http://dx.doi.org/10.1360/sst-2020-0098.

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26

Colombi, John M., Jordan L. Stern, Steven T. Wachtel, David W. Meyer, and Richard G. Cobb. "Multi-Objective Parallel Optimization of Geosynchronous Space Situational Awareness Architectures." Journal of Spacecraft and Rockets 55, no. 6 (November 2018): 1453–65. http://dx.doi.org/10.2514/1.a34043.

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27

Pak, Andrey, Javier Correa, and Martin Adams. "Robust Joint Target Detection and Tracking for Space Situational Awareness." Journal of Guidance, Control, and Dynamics 41, no. 1 (January 2018): 119–36. http://dx.doi.org/10.2514/1.g002231.

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28

Afshar, Saeed, Andrew Peter Nicholson, Andre van Schaik, and Gregory Cohen. "Event-Based Object Detection and Tracking for Space Situational Awareness." IEEE Sensors Journal 20, no. 24 (December 15, 2020): 15117–32. http://dx.doi.org/10.1109/jsen.2020.3009687.

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29

Felten, Michael S., John M. Colombi, Richard G. Cobb, and David W. Meyer. "Multi-objective optimization using parallel simulation for space situational awareness." Journal of Defense Modeling and Simulation: Applications, Methodology, Technology 16, no. 2 (October 4, 2018): 145–57. http://dx.doi.org/10.1177/1548512918803212.

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Improving space situational awareness (SSA) remains one of the Department of Defense’s (DoD) top priorities. Current research has shown that the modeling of geosynchronous orbit (GEO) SSA architectures can help identify optimal combinations of ground- and space-based sensors. This paper extends previous research by expanding design boundaries and refining the methodology. A multi-objective genetic algorithm was used to examine this increased trade-space containing 1022 possible design combinations. The results of the optimizer clearly favor 1.0 m aperture ground telescopes combined with 0.15 m aperture sensors in a 12-satellite geosynchronous polar orbit (GPO) constellation. The GPO regime offers increased access to GEO resident space objects (RSO) since other orbits are restricted by a 40° solar exclusion angle. When performance is held constant, a GPO satellite constellation offers a 22.4% reduction in total system cost when compared to Sun synchronous orbit (SSO), equatorial low earth orbit (LEO), and near-GEO constellations. Parallel high-performance computing provides the possibility of solving an entirely new class of complex problems of interest to the DoD. The results of this research can educate national policy makers on the benefits of proposed upgrades to current and future SSA systems.

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30

Coder, Ryan D., and Marcus J. Holzinger. "Multi-objective design of optical systems for space situational awareness." Acta Astronautica 128 (November 2016): 669–84. http://dx.doi.org/10.1016/j.actaastro.2016.07.008.

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31

Radley, Charles F., and Thomas M. Eubanks. "GNSS with satcom networks to dramatically improve space situational awareness." Journal of Space Safety Engineering 7, no. 3 (September 2020): 307–11. http://dx.doi.org/10.1016/j.jsse.2020.08.005.

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32

Nikolaev, Sergei. "Optical modeling in Testbed Environment for Space Situational Awareness (TESSA)." Applied Optics 50, no. 22 (July 27, 2011): D21. http://dx.doi.org/10.1364/ao.50.000d21.

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33

Swindle, Ryan, Douglas Hope, Michael Hart, and Stuart Jefferies. "High-resolution space situational awareness imaging using carbon fiber telescopes." Journal of Applied Remote Sensing 12, no. 04 (September 25, 2018): 1. http://dx.doi.org/10.1117/1.jrs.12.042406.

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34

Li, Zhe, Haojun Xu, Yuan Xue, and Binbin Pei. "Study on flight safety manipulation space under complex conditions." Proceedings of the Institution of Mechanical Engineers, Part G: Journal of Aerospace Engineering 233, no. 2 (August 20, 2018): 725–35. http://dx.doi.org/10.1177/0954410018795280.

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This study considers the situational awareness under complex conditions like aircraft failures or adverse environments. To enhance pilot’s situational awareness, flight safety manipulation space is proposed based on risk prediction. Current methods normally predict the occurrence of accidents by estimating whether the safety-related parameters exceed their limitations. The complex dynamics of pilot–vehicle–environment simulation models are built and the safety-related flight data are represented by risk colors according to their limits. The safety spectrum is then obtained by the integration of the flight data under a certain manipulation action, and the colored risk value for the single flight condition is further acquired. The colored two-dimensional and three-dimensional distribution topology maps can be calculated by a parallel flight simulation platform. The flight safety manipulation space for one-side engine failure and main surface jams are researched and the disaster-causing mechanism is analyzed. Simulation results show that the outbreak failure may lead to the shrink and even distortion of the safety manipulation space. The proposed method could provide a theoretical support for pilots to enhance situational awareness under complex adverse conditions, an engineering tool for aircraft designers to optimize the aircraft performance, and a visualization analysis method to reveal the accident evolution.

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35

Polkowska, Małgorzata. "Integrated Space Situational Awareness Systems: SDA and SSA – Advantages and Limitations." Polish Political Science Yearbook 50 (2021): 1–15. http://dx.doi.org/10.15804/ppsy202124.

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SDA (Space Domain Awareness) and SSA (Space Situational Awareness – SSA) have been defined as comprehensive knowledge of space objects and the ability to track, understand, and predict their future location. The purpose of the article is to present SSA initiatives to protect space systems, which are now recognized as fundamental assets of the sustainable development of each country. The destruction of even a part of the space infrastructure can have severe consequences for the security of citizens and economic activity. These systems assume the combination of all data obtained by various entities operating in space and Earth to create a common database. The SSA system was created based on the US military programme SDA (Space Domain Awareness); SSA and SDA are almost similar, but SDA is a new term replacing SSA, which existed previously. SDA is a better and improved SSA. Increasingly, the SSA programme is part of national and EU space strategies, but it is not yet possible to include it in international space law.

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36

Adurthi, Nagavenkat, Puneet Singla, and Manoranjan Majji. "Mutual Information Based Sensor Tasking with Applications to Space Situational Awareness." Journal of Guidance, Control, and Dynamics 43, no. 4 (April 2020): 767–89. http://dx.doi.org/10.2514/1.g004399.

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37

Haith, Gary, and Christopher Bowman. "Data-Driven Performance Assessment and Process Management for Space Situational Awareness." Journal of Aerospace Information Systems 11, no. 3 (March 2014): 107–17. http://dx.doi.org/10.2514/1.54855.

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38

Woollands, Robyn M., Julie Read, Kevin Hernandez, Austin Probe, and John L. Junkins. "Unified Lambert Tool for Massively Parallel Applications in Space Situational Awareness." Journal of the Astronautical Sciences 65, no. 1 (November 22, 2017): 29–45. http://dx.doi.org/10.1007/s40295-017-0118-4.

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39

Jaunzemis, Andris D., Karen M. Feigh, Marcus J. Holzinger, Dev Minotra, and Moses W. Chan. "Cognitive Systems Engineering Applied to Decision Support in Space Situational Awareness." Journal of Cognitive Engineering and Decision Making 14, no. 1 (September 26, 2019): 3–33. http://dx.doi.org/10.1177/1555343419872050.

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Existing approaches for sensor network tasking in space situational awareness (SSA) rely on techniques from the 1950s and limited application areas while also requiring significant human-in-the-loop involvement. Increasing numbers of space objects, sensors, and decision-making needs create a demand for improved methods of gathering and fusing disparate information to resolve hypotheses about the space object environment. This work focuses on the cognitive work in SSA sensor tasking approaches. The application of a cognitive work analysis for the SSA domain highlights capabilities and constraints inherent to the domain that can drive SSA operations toward decision-maker goals. A control task analysis is also conducted to derive requirements for cognitive work and information relationships that support the information fusion and sensor allocation tasks of SSA. A prototype decision-support system is developed using a subset of the derived requirements. This prototype is evaluated in a human-in-the-loop experiment using both a hypothesis-based and covariance-based scheduling approaches. Results from this preliminary evaluation show operator ability to address SSA decision-maker hypotheses using the prototype decision-support system (DSS) using both scheduling approaches.

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40

Ferguson, Dale C., Simon Peter Worden, and Daniel E. Hastings. "The Space Weather Threat to Situational Awareness, Communications, and Positioning Systems." IEEE Transactions on Plasma Science 43, no. 9 (September 2015): 3086–98. http://dx.doi.org/10.1109/tps.2015.2412775.

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41

Privalov, A. E., and P. Yu Bugaichenko. "Justification of the architecture of an interactive information model of the process of space-mission vehicle launch preparation." VESTNIK of Samara University. Aerospace and Mechanical Engineering 18, no. 3 (October 31, 2019): 118–30. http://dx.doi.org/10.18287/2541-7533-2019-18-3-118-130.

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The article presents a solution of the problem of substantiating the architecture of an interactive information model for the launch preparation of an integrated launch vehicle (ILV). The relevance of the research is due to the complexity and high dynamics of the ILV launch preparation process, as well as the latest achievements in the field of information modeling and decision support theory. The aim of the research is to raise the situational awareness of the decision maker in managing the process of preparing ILV for launch. The process of formation of situational awareness as an integral part of the decision-making process is analyzed. On the basis of this analysis a model of an indicator of the effectiveness of situational awareness formation is proposed for the first time. A model for evaluating the effectiveness of the process under study is developed on the basis of the mathematical apparatus of the theory of continuous-time Markov chains. The results of numerical experiments confirming the adequacy of the model and making it possible to state the quantitative requirements for the process of formation of situational awareness, ensuring its maximum efficiency, are presented. The tasks of the information system aimed at satisfying the requirements are stated, and the architecture of the information model of the ILV launch preparation process is developed. The research results can be used to justify the quantitative requirements for the developed information models of the launch situation at the stage of development of technical specifications.

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42

Jayaweera, Sudharman K., R. Scott Erwin, and Jed Carty. "Distributed Space Situational Awareness (D-SSA) with a Satellite-assisted Collaborative Space Surveillance Network." IFAC Proceedings Volumes 44, no. 1 (January 2011): 8792–98. http://dx.doi.org/10.3182/20110828-6-it-1002.00258.

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43

Wei, Baishen, and Brett D. Nener. "Multi-Sensor Space Debris Tracking for Space Situational Awareness With Labeled Random Finite Sets." IEEE Access 7 (2019): 36991–7003. http://dx.doi.org/10.1109/access.2019.2904545.

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44

Takeuchi, Yu. "Law and policy for space situational awareness towards Space Traffic Management - A Japanese perspective." Journal of Space Safety Engineering 6, no. 2 (June 2019): 130–37. http://dx.doi.org/10.1016/j.jsse.2019.05.006.

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45

Krasmann, Susanne, and Christine Hentschel. "‘Situational awareness’: Rethinking security in times of urban terrorism." Security Dialogue 50, no. 2 (January 31, 2019): 181–97. http://dx.doi.org/10.1177/0967010618819598.

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The emergence of ‘situational awareness’ as a response to the perception of a new terrorism in European cities marks a significant shift in the conceptualization of security. Focusing on a recently introduced German Federal Police programme that trains ordinary officers in their capability to handle ‘complex life-threatening situations of police operation’, the article explores how situational awareness introduces a warrior logic into policing and urban subjectivity and modifies our understanding of security at large. It points us to the limitations of preparedness and concretizes the hitherto elusive call to resilience. Three analytical dimensions – space–time, sensing and connectivity – will be developed to render the situation thinkable for empirical research as well as to grasp security as a ‘live’ mode of government.

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46

Choi, Eun-Jung. "Development of a Software for Re-Entry Prediction of Space Objects for Space Situational Awareness." Journal of Space Technology and Applications 1, no. 1 (May 2021): 23–32. http://dx.doi.org/10.52912/jsta.2021.1.1.23.

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47

McCormick, Patricia. "Space Situational Awareness in Europe: The Fractures and the Federative Aspects of European Space Efforts." Astropolitics 13, no. 1 (January 2, 2015): 43–64. http://dx.doi.org/10.1080/14777622.2015.1012002.

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48

Lee, Jonghyun, Eun Jung Choi, Hyun-Wook Moon, Joontae Park, Sungki Cho, Jang Hyun Park, and Jung Hyun Jo. "Design of L-Band-Phased Array Radar System for Space Situational Awareness." Journal of Korean Institute of Electromagnetic Engineering and Science 29, no. 3 (March 2018): 214–24. http://dx.doi.org/10.5515/kjkiees.2018.29.3.214.

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Persico, Adriano Rosario, Paul Kirkland, Carmine Clemente, John J. Soraghan, and Massimiliano Vasile. "CubeSat-Based Passive Bistatic Radar for Space Situational Awareness: A Feasibility Study." IEEE Transactions on Aerospace and Electronic Systems 55, no. 1 (February 2019): 476–85. http://dx.doi.org/10.1109/taes.2018.2848340.

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Horwood, Joshua T., and Aubrey B. Poore. "Gauss von Mises Distribution for Improved Uncertainty Realism in Space Situational Awareness." SIAM/ASA Journal on Uncertainty Quantification 2, no. 1 (January 2014): 276–304. http://dx.doi.org/10.1137/130917296.

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