Academic literature on the topic 'Astrodynamics and space situational awareness'

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

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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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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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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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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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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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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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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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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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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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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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Dissertations / Theses on the topic "Astrodynamics and space situational awareness"

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Nastasi, Kevin Michael. "Autonomous and Responsive Surveillance Network Management for Adaptive Space Situational Awareness." Diss., Virginia Tech, 2018. http://hdl.handle.net/10919/84931.

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As resident space object populations grow, and satellite propulsion capabilities improve, it will become increasingly challenging for space-reliant nations to maintain space situational awareness using current human-in-the-loop methods. This dissertation develops several real-time adaptive approaches to autonomous sensor network management for tracking multiple maneuvering and non-maneuvering satellites with a diversely populated Space Object Surveillance and Identification network. The proposed methods integrate suboptimal Partially Observed Markov Decision Processes (POMDPs) with covariance inflation or multiple model adaptive estimation techniques to task sensors and maintain viable orbit estimates for all targets. The POMDPs developed in this dissertation use information-based and system-based metrics to determine the rewards and costs associated with tasking a specific sensor to track a particular satellite. Like in real-world situations, the population of target satellites vastly outnumbers the available set of sensors. Robust and adaptable tasking algorithms are needed in this scenario to determine how and when sensors should be tasked. The strategies developed in this dissertation successfully track 207 non-maneuvering and maneuvering spacecraft using only 24 ground and space-based sensors. The results show that multiple model adaptive estimation coupled with a multi-metric, suboptimal POMDP can effectively and efficiently task a diverse network of sensors to track multiple maneuvering spacecraft, while simultaneously monitoring a large number of non-maneuvering objects. Overall, this dissertation demonstrates the potential for autonomous and adaptable sensor network command and control for real-world space situational awareness.
Ph. D.
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Gast, David W. "LIDAR design for space situational awareness." Thesis, Monterey, Calif. : Naval Postgraduate School, 2008. http://edocs.nps.edu/npspubs/scholarly/theses/2008/Sept/08Sep%5FGast.pdf.

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Thesis (M.S. in Astronautical Engineering)--Naval Postgraduate School, September 2008.
Thesis Advisor(s): Agrawal, Brij N. ; Boger, Dan C. "September 2008." Description based on title screen as viewed on November 3, 2008. Includes bibliographical references (p. 79-80). Also available in print.
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O'Brien, Tolulope E. "Space situational awareness CubeSat concept of operations." Monterey, California. Naval Postgraduate School, 2011. http://hdl.handle.net/10945/10664.

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The concept of space situational awareness (SSA) is important to preserve manned and unmanned space operations. Traditionally, ground based radar, electro-optical sensors and very limited space-based assets have been used as part of the space surveillance network (SSN) to track orbital debris, inactive and active satellites alike. With the current SSN assets aging and the need for SSA growing, it is important to explore new ways to ensure proper SSA is maintained to preserve space operations. The Space-based Telescope for the Actionable Refinement of Ephemeris (STARE) project was initiated to explore the potential for a cube satellite (CubeSat) to contribute to the current SSN, with an optical payload integrated into a 3U Colony II Bus. The bus and payload data from the CubeSat will be collected by the Naval Postgraduate School Mobile CubeSat Command and Control ground station. Telemetry data from the bus will be analyzed at NPS and the payload data at Lawrence Livermore National Laboratory. This thesis outlines the concept of operation for the STARE CubeSat and investigates the possibility of using the data generated by STARE to augment the SSN to reduce the errors associated with conjunction analysis performed at the Joint Space Operations Center.
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Gondelach, David J. "Orbit prediction and analysis for space situational awareness." Thesis, University of Surrey, 2019. http://epubs.surrey.ac.uk/850116/.

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The continuation of space activities is at risk due to the growing number of uncontrolled objects, called space debris, which can collide with operational spacecraft. In addition, debris can fall back to the Earth causing risks to the population. Therefore, space agencies have started space situational awareness (SSA) programs and taken space debris mitigation measures to reduce the risks caused by uncontrolled objects and prevent the generation of new debris. A fundamental need for SSA is the capability to predict, design and analyse orbits. In this work, new techniques for orbit prediction are developed that are suitable for SSA in terms of accuracy, efficiency and ability to deal with uncertainties and are applied for re-entry prediction, end-of-life disposal, ADR mission design and long-term orbit prediction. The performance of high-order Poincaré mapping of perturbed orbits is improved by introducing a new set of orbital elements and the method is applied for orbit propagation and analysis of quasi-periodic orbits. Two new Lambert problem solvers are developed to compute perturbed rendezvous trajectories with hundreds of revolutions for the design of active debris removal missions. The computation of the effect of drag for semi-analytical propagation is speed up by using high-order Taylor expansions to evaluate the mean element rates efficiently. In addition, the high-order expansion of the flow through semi-analytical propagation is enabled using differential algebra to allow efficient propagation of initial conditions. The predictability of Galileo disposal orbits was investigated using chaos indicators and sensitivity analysis. The study showed that the orbits are predictable and that chaos indicators are not unsuitable for predictability analysis. Finally, to improve the re-entry prediction of rocket bodies based on two-line element data, ballistic coefficient and state estimation methods are enhanced. Using the developed approach, the re-entry prediction using only a ballistic coefficient estimate was found to be as accurate as re-entry prediction after full state estimation.
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Alinder, Simon. "Space Situational Awareness with the Swedish Allsky Meteor Network." Thesis, Uppsala universitet, Observationell astrofysik, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-390397.

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This thesis investigates the use of the Swedish Allsky Meteor Network (SAMN) for observing, identifying, and determining the orbits of satellites. The overall goal of this project is to determine the feasibility of using such a network for Space Situational Awareness (SSA) purposes, which requires identification and monitoring of objects in orbit. This thesis is a collaboration with the Swedish Defense Research Agency (FOI) to support their efforts in SSA. Within the frame of this project, the author developed software that can take data of observations of an object collected from the all-sky cameras of SAMN and do an Initial Orbit Determination (IOD) of the object. An algorithm that improves the results of the IOD was developed and integrated into the software. The software can also identify the object if it is in a database that the program has access to or, if it could not be identified, make an approximate prediction of when and where the object will be visible again the next time it flies over. A program that analyses the stability of the results of the IOD was also developed. This measures the spread in results of the IOD when a small amount of artificial noise is added to one or more of the observed coordinates in the sky. It was found that using multiple cameras at different locations greatly improves the stability of the solutions. Gauss' method was used for doing the IODs. The advantages and disadvantages of using this method are discussed, and ultimately other methods, such as the Gooding method or Double R iteration, are recommended for future works. This is mostly because Gauss' method has a singularity when all three lines of sight from observer to object lie in the same plane, which makes the results unreliable. The software was tested on a number of observations, both synthetic and real, and the results were compared against known data from public databases. It was found that these techniques can, with some changes, be used for doing IOD and satellite identification, but that doing very accurate position determination required for full orbit determination is not feasible.
Detta examensarbete undersöker möjligheterna att använda ett svenskt nätverk av allskykameror kallat SAMN (Swedish Allsky Meteor Network) för att observera, identifiera och banbestämma satelliter. Det övergripande målet med detta projekt är att bestämma hur användbart ett sådant nätverk skulle vara för att skapa en rymdlägesbild, vilken i sin tur kräver bevakning och identifikation av objekt som ligger i omloppsbana. Detta examensarbete är ett samarbete mellan Uppsala Universitet och FOI (Totalförsvarets Forskningsinstitut). Inom ramen för detta projekt har författaren utvecklat mjukvara som kan ta data från observationer av objekt utförda av SAMN och göra initiala banbestämningar av objekten. En algoritm som förbättrar resultaten av den initiala banbestämningen utvecklades och integrerades i programmen. Programmen kan också identifiera satelliter om de finns med i en databas som programmet har tillgång till eller förutsäga objektets nästa passage över observatören om det inte kunde identifieras. Ett annat program som analyserar känsligheten av resultaten av den initiala banbestämningen utvecklades också. Detta program mäter spridningen i resultat som orsakas av små störningar i de observerade koordinaterna på himlen. Det framkom att stabiliteten av resultaten kan förbättras avsevärt genom att använda flera observatörer på olika orter. I detta projekt användes Gauss metod för att göra banbestämningarna. Metodens för- och nackdelar diskuteras och i slutänden rekommenderas istället andra metoder, som Goodings metod eller Dubbel R-iteration, för framtida arbeten. Detta beror mest på att Gauss metod innehåller en singularitet när alla siktlinjer från observatören till objektet ligger i samma plan som varandra vilket gör resultaten opålitliga i de fallen. Programmen testkördes på ett antal olika observationer, både artificiella och verkliga, och resultaten jämfördes med kända positioner. Slutsatsen av arbetet är att de undersökta teknikerna kan, med vissa modifikationer, användas för att göra initiala banbestämningar och satellitidentifikationer, men att göra de väldigt precisa positionsbestämningarna som krävs för fullständig banbestämning är inte genomförbart.
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Flanagan, Jason A. "Enhancing space situational awareness using a 3U CubeSat with optical imager." Thesis, Monterey, California. Naval Postgraduate School, 2010. http://hdl.handle.net/10945/5001.

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Approved for public release; distribution is unlimited
Space situational awareness is extremely important in order to maintain the safety and usability of earth-orbiting satellites, as well as protecting astronauts living and working in space. Traditional space situational awareness is achieved using ground-based radar and optical sensors. This thesis explores the feasibility of space-based space situational awareness using a 3U CubeSat with an optical imager to augment the Space Surveillance Network by capturing conjunctions in space, from which ephemeris data of earth orbiting objects can be updated to more accurately predict future orbital positions. Work completed includes preliminary work towards building, testing, and using a Colony II Bus emulator and interface mechanism, allowing smooth payload and bus integration. Analysis of orbital trajectories for a reference orbit and potential crossing satellites provides insight into the capabilities of the SSA CubeSat. Future work is discussed.
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Zaman, Farakh B. "Building a local Space Situational Awareness (SSA) architecture using hosted payloads." Thesis, Monterey California. Naval Postgraduate School, 2013. http://hdl.handle.net/10945/37749.

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From a military standpoint, space-based capabilities and the need to know what is happening in space, or Space Situational Awareness (SSA), have become invaluable. Current SSA capabilities are expensive and are limited in scope. Hosted payloads however, provide a unique method to provide SSA in a relatively inexpensive manner. This thesis explores the development of an architecture for SSA using hosted payloads. For this thesis, research was conducted on existing systems. NASA and Air Force programs were reviewed to gain an understanding of hosted payloads, and a set of generic high-level requirements were developed for a hosted payload. These requirements will meet the needs of a hosted SSA payload that can enable a larger SSA architecture using hosted payloads. Once the requirements were developed, modeling and simulation using Satellite Tool Kit (STK) was were employed to develop an optimal SSA system using hosted payloads. Finally, once the architecture was defined, an Operational View 1 (OV-1) was developed to provide a graphical representation of the architecture.
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Persico, Adriano Rosario. "Advanced signal processing tools for ballistic missile defence and space situational awareness." Thesis, University of Strathclyde, 2018. http://digitool.lib.strath.ac.uk:80/R/?func=dbin-jump-full&object_id=30190.

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The research presented in this Thesis deals with signal processing algorithms for the classification of sensitive targets for defence applications and with novel solutions for the detection of space objects. These novel tools include classification algorithms for Ballistic Targets (BTs) from both micro-Doppler (mD) and High Resolution Range Profiles (HRRPs) of a target, and a space-borne Passive Bistatic Radar (PBR) designed for exploiting the advantages guaranteed by the Forward Scattering (FS) configuration for the detection and identification of targets orbiting around the Earth. Nowadays the challenge of the identification of Ballistic Missile (BM) warheads in a cloud of decoys and debris is essential in order to optimize the use of ammunition resources. In this Thesis, two different and efficient robust frameworks are presented. Both the frameworks exploit in different fashions the effect in the radar return of micro-motions exhibited by the target during its flight. The first algorithm analyses the radar echo from the target in the time-frequency domain, with the aim to extract the mD information. Specifically, the Cadence Velocity Diagram (CVD) from the received signal is evaluated as mD profile of the target, where the mD components composing the radar echo and their repetition rates are shown. Different feature extraction approaches are proposed based on the estimation of statistical indices from the 1-Dimensional (1D) Averaged CVD (ACVD), on the evaluation of pseudo-Zerike (pZ) and Krawtchouk (Kr) image moments and on the use of 2-Dimensional (2D) Gabor filter, considering the CVD as 2D image. The reliability of the proposed feature extraction approaches is tested on both simulated and real data, demonstrating the adaptivity of the framework to different radar scenarios and to different amount of available resources. The real data are realized in laboratory, conducting an experiment for simulating the mD signature of a BT by using scaled replicas of the targets, a robotic manipulator for the micro-motions simulation and a Continuous Waveform (CW) radar for the radar measurements. The second algorithm is based on the computation of the Inverse Radon Transform (IRT) of the target signature, represented by a HRRP frame acquired within an entire period of the main rotating motion of the target, which are precession for warheads and tumbling for decoys. Following, pZ moments of the resulting transformation are evaluated as final feature vector for the classifier. The features guarantee robustness against the target dimensions and the initial phase and the angular velocity of its motion. The classification results on simulated data are shown for different polarization of the ElectroMagnetic (EM) radar waveform and for various operational conditions, confirming the the validity of the algorithm. The knowledge of space debris population is of fundamental importance for the safety of both the existing and new space missions. In this Thesis, a low budget solution to detect and possibly track space debris and satellites in Low Earth Orbit (LEO) is proposed. The concept consists in a space-borne PBR installed on a CubeSaT flying at low altitude and detecting the occultations of radio signals coming from existing satellites flying at higher altitudes. The feasibility of such a PBR system is conducted, with key performance such as metrics the minimumsize of detectable objects, taking into account visibility and frequency constraints on existing radio sources, the receiver size and the compatibility with current CubeSaT's technology. Different illuminator types and receiver altitudes are considered under the assumption that all illuminators and receivers are on circular orbits. Finally, the designed system can represent a possible solution to the the demand for Ballistic Missile Defence (BMD) systems able to provide early warning and classification and its potential has been assessed also for this purpose.
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Ohriner, Ethan Benjamin Lewis. "Investigation of Orbital Debris Situational Awareness with Constellation Design and Evaluation." Thesis, Virginia Tech, 2021. http://hdl.handle.net/10919/102096.

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Orbital debris is a current and growing threat to reliable space operations and new space vehicle traffic. As space traffic increases, so does the economic impact of orbital debris on the sustainability of systems that increasingly support national security and international commerce. Much of the debris collision risk is concentrated in specific high-density debris clusters in key regions of Low Earth Orbit (LEO). A potential long-term solution is to employ a constellation of observation satellites within these debris clusters to improve monitoring and characterization efforts, and engage in Laser Debris Removal (LDR) as means of collision mitigation. Here we adapted and improved a previous methodology for evaluating such designs. Further, we performed an analysis on the observer constellations' effectiveness over a range of circular, elliptical, and self-maneuvering designs. Our results show that increasingly complex designs result in improved performance of various criteria and that the proposed method of observation could significantly reduce the threat orbital debris poses to space operations and economic growth.
Master of Science
Orbital debris is defined as all non-operational, man-made objects currently in space. US national space regulations require every new satellite to have a de-orbit plan to prevent the creation of new debris, but fails to address the thousands of derelict objects currently hindering space operations. As space traffic increases, so does the economic impact of orbital debris on the sustainability of systems that increasingly support national security and commercial growth. While orbital debris is usually assessed by looking at the full volume of space, most massive debris objects are concentrated in high-density clusters with a higher than normal probability for collision. A potential solution to the growing orbital debris problem is to place a group of observation satellites within these debris clusters to both improve monitoring capabilities and provide a means for preventing potential collisions by engaging with debris via Laser Debris Removal (LDR). This research presents a methodology for comparing and contrasting different observer satellite constellation designs. Our results show that increasingly complex orbit designs improve various performance criteria, but ultimately orbits that more closely match those of the debris objects provide the best coverage. The proposed method of observation and engagement could significantly reduce the threat orbital debris poses to space operations and economic growth.
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Sease, Bradley Jason. "Data Reduction for Diverse Optical Observers through Fundamental Dynamic and Geometric Analysis." Diss., Virginia Tech, 2016. http://hdl.handle.net/10919/70923.

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Typical algorithms for processing unresolved space imagery from optical systems make broad assumptions about the expected behavior of the sensors during collection. While these techniques are often successful at data reduction for a particular mission, they rarely extend to sensors in different operating modes. Such specialized techniques therefore reduce the number of sensors able to contribute imagery. By approaching this problem with analysis of the fundamental dynamic equations and geometry at play, we can gain a deeper understanding into the behavior of both stars and space objects viewed through optical sensors. This type of analysis has the potential to enable data collection from a wider variety of sensors, increasing both the quantity and quality of data available for space object catalog maintenance. This dissertation will explore the implications of this approach to unresolved data processing. Sensor-level motion descriptions will be derived and applied to the problem of space object discrimination and tracking. Results of this processing pipeline as applied to both simulated and real optical data will be presented.
Ph. D.
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Books on the topic "Astrodynamics and space situational awareness"

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Shannon, Christopher C., John P. Geis, Amanda Sue Birch, and Tosha N. Meredith. Finding the shape of space. Maxwell Air Force Base, Ala: Air University Press, 2011.

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Harding, Duncan. Situational awareness. Edited by Duncan Harding. Oxford University Press, 2018. http://dx.doi.org/10.1093/med/9780198768197.003.0012.

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This chapter works towards improving and refining our situational awareness in the interview space, by considering the interview from a psychological perspective. It discusses theory of mind, motive, and motivations, and how to fill the required space in the interview appropriately. The chapter considers the empowering psychological state of curiosity and how this can help us retain a sense of control in a stressful interview situation. Finally, it discusses our understanding of the interviewer themselves. This chapter includes an exercise to find an anchor in the interview space, i.e. a method to ground ourselves mindfully in the moment of the interview.
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Library, The Law. Japan - Agreement Memorandum of Understanding for Sharing the Space Situational Awareness Services and Information for Safety of Space (13-528) (United States Treaty). Independently Published, 2019.

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Department of Defense. Finding the Shape of Space - Future Space Situational Awareness (SSA) Technologies Preserving U. S. Military Freedom of Action in Space, Full Motion Video, Networks, Scramjet Access, Carbon Nanotubes. Independently Published, 2017.

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Lin, Erica P., Andreas W. Loepke, and Emad B. Mossad. Cardiac Catheterization. Edited by Erin S. Williams, Olutoyin A. Olutoye, Catherine P. Seipel, and Titilopemi A. O. Aina. Oxford University Press, 2018. http://dx.doi.org/10.1093/med/9780190678333.003.0028.

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Cardiac catheterization plays an increasing role in the management of pediatric and adult patients with congenital heart disease. These days, the catheterization laboratory often also functions as a satellite operating room with hybrid capabilities that involve both the surgeons and interventional cardiologists. Delivering anesthesia in this environment is challenging, and the physical space is limited. Exposure to ionizing radiation increases in proximity to the patient during fluoroscopy. Furthermore, the medical complexity of the patient population cared for in this setting continues to broaden, as a wider range of interventions becomes available. In order to plan the safest anesthetic management, it is imperative for anesthesiologists to have a firm understanding of each patient’s physiology and how it will be affected by both the sedation/anesthesia and the proposed procedure. Teamwork and situational awareness are essential, as are anticipation and preparation for the rare occurrence of a major, life-threatening complication.
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Harding, Duncan. Deconstructing the Interview. Oxford University Press, 2018. http://dx.doi.org/10.1093/med/9780198768197.001.0001.

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The professional interview is a charged psychological encounter and hurdle, necessary for all of us to traverse in order to move on in our lives and careers. The interviewer is the gatekeeper who holds the keys to our brighter future. This book is a detailed examination of the interview experience and our role as the interviewee within it. This book does not consider the content required for any given interview; instead, it looks in detail at the interview processes and performance from a psychological perspective in order to be the best we can be. Deconstructing the Interview teaches a way of mindfully connecting with the interview space, operating externally in the room, and guiding our answers and performance with situational awareness and an enhanced understanding of the psychological factors at play. As well as communication skills, both verbal and non-verbal, this book considers in detail our interface with the external world around us; to improve and refine our interview skills, and to operate in the room as our true authentic selves. Here we accept and embrace anxiety as an essential part of this process, and we choose to be ‘mindfully anxious’. This book breaks down the interview stage and its players from a psychological perspective, and helps the reader build interview skills from the ground up. This is a new and novel approach in helping the reader prepare for the interview process, and builds on the author’s previous book in this series (Deconstructing the OSCE, 2014, OUP).
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Book chapters on the topic "Astrodynamics and space situational awareness"

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Gasparini, Giovanni, and Valérie Miranda. "Space situational awareness: an overview." In The Fair and Responsible Use of Space, 73–87. Vienna: Springer Vienna, 2010. http://dx.doi.org/10.1007/978-3-211-99653-9_7.

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Oltrogge, Dan, and James Cooper. "Space Situational Awareness & Space Traffic Management." In Space Debris Peril: Pathways to Opportunities, 9–66. Boca Raton, FL: CRC press, 2020.: CRC Press, 2020. http://dx.doi.org/10.1201/9781003033899-4.

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Leveque, Louis. "Space Situational Awareness and Recognized Picture." In Handbook of Space Security, 699–715. New York, NY: Springer New York, 2014. http://dx.doi.org/10.1007/978-1-4614-2029-3_46.

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Marta, Lucia C., and Giovanni Gasparini. "Europe’s Approach to Space Situational Awareness: A Proposal." In Yearbook on Space Policy, 138–51. Vienna: Springer Vienna, 2009. http://dx.doi.org/10.1007/978-3-211-99091-9_5.

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Gao, Yuan, Su Hu, Wanbin Tang, Dan Huang, Yunchuan Sun, Xiangyang Li, and Shaochi Cheng. "Situational Awareness in Space Based Blockchain Wireless Networks." In Communications in Computer and Information Science, 15–20. Singapore: Springer Singapore, 2019. http://dx.doi.org/10.1007/978-981-13-5937-8_3.

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Gorman, Alice. "Space Debris, Space Situational Awareness and Cultural Heritage Management in Earth Orbit." In Commercial and Military Uses of Outer Space, 133–51. Singapore: Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-15-8924-9_10.

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Lutfi, Mostafa, and Ricardo Valerdi. "Executable Modeling of a CubeSat-Based Space Situational Awareness System." In Recent Trends and Advances in Model Based Systems Engineering, 475–84. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-82083-1_40.

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Pelton, Joseph N. "Security Concerns Related to Smallsats, Space Situational Awareness (SSA), and Space Traffic Management (STM)." In Handbook of Small Satellites, 1–22. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-20707-6_47-1.

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Pelton, Joseph N. "Security Concerns Related to Smallsats, Space Situational Awareness (SSA), and Space Traffic Management (STM)." In Handbook of Small Satellites, 827–47. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-36308-6_47.

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Linares, Richard, Vivek Vittaldev, and Humberto C. Godinez. "Dynamic Data-Driven Uncertainty Quantification via Polynomial Chaos for Space Situational Awareness." In Handbook of Dynamic Data Driven Applications Systems, 75–93. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-95504-9_4.

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Conference papers on the topic "Astrodynamics and space situational awareness"

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Yates, Jesse, Brian Spanbauer, and Jonathan Black. "Geostationary Orbit Development and Evaluation for Space Situational Awareness (GODESSA)." In AIAA/AAS Astrodynamics Specialist Conference. Reston, Virigina: American Institute of Aeronautics and Astronautics, 2010. http://dx.doi.org/10.2514/6.2010-7528.

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Gaebler, John A., and Penina Axelrad. "Characterization of Specialized Geosynchronous Elements for Space Situational Awareness Applications." In AIAA/AAS Astrodynamics Specialist Conference. Reston, Virginia: American Institute of Aeronautics and Astronautics, 2016. http://dx.doi.org/10.2514/6.2016-5503.

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Virdee, Hira S., Stuart Grey, Santosh Bhattarai, and Marek Ziebart. "Non-Conservative Torque and Attitude Modelling for Enhanced Space Situational Awareness." In AIAA/AAS Astrodynamics Specialist Conference. Reston, Virginia: American Institute of Aeronautics and Astronautics, 2014. http://dx.doi.org/10.2514/6.2014-4136.

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Hussein, I., K. DeMars, C. Fruh, M. Jah, and R. Erwin. "An AEGIS-FISST Algorithm for Multiple Object Tracking in Space Situational Awareness." In AIAA/AAS Astrodynamics Specialist Conference. Reston, Virigina: American Institute of Aeronautics and Astronautics, 2012. http://dx.doi.org/10.2514/6.2012-4807.

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Faber, Weston R., Suman Chakravorty, and Islam I. Hussein. "R-FISST and the Data Association Problem with applications to Space Situational Awareness." In AIAA/AAS Astrodynamics Specialist Conference. Reston, Virginia: American Institute of Aeronautics and Astronautics, 2016. http://dx.doi.org/10.2514/6.2016-5372.

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Kalden, Osman, and Christian Bodemann. "Building Space Situational Awareness capability." In 2011 5th International Conference on Recent Advances in Space Technologies (RAST). IEEE, 2011. http://dx.doi.org/10.1109/rast.2011.5966920.

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LaVallee, David, Samuel Fix, and David Edell. "Mission-level space situational awareness." In 2015 IEEE Aerospace Conference. IEEE, 2015. http://dx.doi.org/10.1109/aero.2015.7119292.

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Lewandowski, Daniel. "Space Intelligence: Imperative for Space Situational Awareness." In AIAA SPACE 2009 Conference & Exposition. Reston, Virigina: American Institute of Aeronautics and Astronautics, 2009. http://dx.doi.org/10.2514/6.2009-6688.

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Phister, Paul, I. Plonisch, and Richard Metzger. "Information Management for Space Situational Awareness: The Space Awareness Infosphere." In AIAA International Air and Space Symposium and Exposition: The Next 100 Years. Reston, Virigina: American Institute of Aeronautics and Astronautics, 2003. http://dx.doi.org/10.2514/6.2003-2685.

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Hanson, Mark, and Paul Gonsalves. "Space Situational Awareness Using Intelligent Agents." In AIAA Space 2003 Conference & Exposition. Reston, Virigina: American Institute of Aeronautics and Astronautics, 2003. http://dx.doi.org/10.2514/6.2003-6286.

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Reports on the topic "Astrodynamics and space situational awareness"

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Ianni, John D. Human Interfaces for Space Situational Awareness. Fort Belvoir, VA: Defense Technical Information Center, January 2002. http://dx.doi.org/10.21236/ada430156.

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Leek, J., B. Fasenfest, H. Springer, D. Phillion, S. Nikolaev, M. Jiang, J. Levatin, A. Pertica, and W. de Vries. Testbed Environment for Space Situational Awareness. Office of Scientific and Technical Information (OSTI), April 2013. http://dx.doi.org/10.2172/1077173.

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Prasad, Sudhakar, and David Tyler. Advanced Topics in Space Situational Awareness. Fort Belvoir, VA: Defense Technical Information Center, November 2007. http://dx.doi.org/10.21236/ada474959.

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Clark, Daniel, Emmanuel Delande, and Carolin Frueh. Multi-Object Filtering for Space Situational Awareness. Fort Belvoir, VA: Defense Technical Information Center, June 2014. http://dx.doi.org/10.21236/ada605688.

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Spencer, David B., and Patrick S. Williams. Managing Space Situational Awareness Using the Space Surveillance Network. Fort Belvoir, VA: Defense Technical Information Center, November 2013. http://dx.doi.org/10.21236/ada594829.

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Jefferies, Stuart M., Douglas A. Hope, and C. A. Giebink. Next Generation Image Restoration for Space Situational Awareness. Fort Belvoir, VA: Defense Technical Information Center, March 2009. http://dx.doi.org/10.21236/ada495284.

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THOMSEN, MICHELLE F. APPLICATION OF LOS ALAMOS SPACE ENVIRONMENT DATA TO SPACE SITUATIONAL AWARENESS (2001220ER). Office of Scientific and Technical Information (OSTI), September 2002. http://dx.doi.org/10.2172/801235.

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McInroy, John, Suresh Muknahallipatna, Margareta Stefanovic, and Farhad Jafari. Coordinated Hyperspectral Imaging Nano-Satellite Networks for Space Situational Awareness. Fort Belvoir, VA: Defense Technical Information Center, January 2011. http://dx.doi.org/10.21236/ada564981.

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Ackermann, Mark R., Rex R. Kiziah, Peter C. Zimmer, and John T. McGraw. Weather Considerations for Ground-Based Optical Space Situational Awareness Site Selection. Office of Scientific and Technical Information (OSTI), October 2018. http://dx.doi.org/10.2172/1481624.

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Wiest, Todd E. Upon This Rock...A Foundational Space Situational Awareness Technology for 2030. Fort Belvoir, VA: Defense Technical Information Center, April 2007. http://dx.doi.org/10.21236/ada515444.

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