Relevant bibliographies by topics / NASA's Space Network (SN)

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers

Academic literature on the topic 'NASA's Space Network (SN)'

Author: Grafiati
Published: 4 June 2021
Last updated: 3 February 2022

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Journal articles on the topic "NASA's Space Network (SN)"

1

Johnston, Mark D., Daniel Tran, Belinda Arroyo, et al. "Automated Scheduling for NASA's Deep Space Network." AI Magazine 35, no. 4 (2014): 7–25. http://dx.doi.org/10.1609/aimag.v35i4.2552.

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This article describes the DSN scheduling wngine (DSE) component of a new scheduling system being deployed for NASA's deep space network. The DSE provides core automation functionality for scheduling the network, including the interpretation of scheduling requirements expressed by users, their elaboration into tracking passes, and the resolution of conflicts and constraint violations. The DSE incorporates both systematic search and repair-based algorithms, used for different phases and purposes in the overall system. It has been integrated with a web application which provides DSE functionalit
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Teitelbaum, Lawrence, Walid Majid, Manuel M. Franco, Daniel J. Hoppe, Shinji Horiuchi, and T. Joseph W. Lazio. "Precision Pulsar Timing with NASA's Deep Space Network." Proceedings of the International Astronomical Union 11, A29B (2015): 367–69. http://dx.doi.org/10.1017/s174392131600555x.

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AbstractMillisecond pulsars (MSPs) are a class of radio pulsars with extremely stable rotation. Their excellent timing stability can be used to study a wide variety of astrophysical phenomena. In particular, a large sample of these pulsars can be used to detect low-frequency gravitational waves. We have developed a precision pulsar timing backend for the NASA Deep Space Network (DSN), which will allow the use of short gaps in tracking schedules to time pulses from an ensemble of MSPs. The DSN operates clusters of large dish antennas (up to 70-m in diameter), located roughly equidistant around
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Witkowski, Mona M., John Todd, and John Dokken. "4.1.2 Managing Risk in NASA's Deep Space Network." INCOSE International Symposium 21, no. 1 (2011): 342–57. http://dx.doi.org/10.1002/j.2334-5837.2011.tb01211.x.

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4

Hinedi, S. "NASA's next generation all-digital deep space network breadboard receiver." IEEE Transactions on Communications 41, no. 1 (1993): 246–57. http://dx.doi.org/10.1109/26.212383.

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Ge, Ying. "Characterizations of sn-metrizable spaces." Publications de l'Institut Math?matique (Belgrade) 74, no. 88 (2003): 121–28. http://dx.doi.org/10.2298/pim0374121g.

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We give some characterizations of sn-metrizable spaces. We prove that a space is an sn-metrizable space if and only if it has a locally-finite point-star sn-network. As an application of the result, a space is an sn-metrizable space if and only if it is a sequentially quotient, ? (compact), ?-image of a metric space.
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Tuyen, Luong. "Spaces with σ-locally finite Lindelöf sn-networks". Publications de l'Institut Math?matique (Belgrade) 93, № 107 (2013): 145–52. http://dx.doi.org/10.2298/pim1307145t.

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We prove that a space X has a ?-locally finite Lindel?f sn-network if and only if X is a compact-covering compact and mssc-image of a locally separable metric space, if and only if X is a sequentially-quotient ? and mssc-image of a locally separable metric space, where ?compact-covering? (or ?sequentially-quotient?) can not be replaced by ?sequence-covering?. As an application, we give a new characterization of spaces with locally countable weak bases.
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Senghore, Fatima, Enrique Campos-Nanez, Pavel Fomin, and James S. Wasek. "Using Social Network Analysis to Investigate the Potential of Innovation Networks: Lessons Learned from NASA's International Space Apps Challenge." Procedia Computer Science 28 (2014): 380–88. http://dx.doi.org/10.1016/j.procs.2014.03.047.

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Senghore, Fatima, Enrique Campos-Nanez, Pavel Fomin, and James S. Wasek. "Applying social network analysis to validate mass collaboration innovation drivers: An empirical study of NASA's International Space Apps Challenge." Journal of Engineering and Technology Management 37 (July 2015): 21–31. http://dx.doi.org/10.1016/j.jengtecman.2015.08.007.

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Sovers, O. J. "An Extragalactic Reference Frame From DSN VLBI Measurements–1989." Symposium - International Astronomical Union 141 (1990): 261–70. http://dx.doi.org/10.1017/s0074180900086915.

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Assessment of the impact of recent improvements in Deep Space Network (DSN) instrumentation, as well as of joint data analyses, provide a prognosis for the accuracy level to be expected in future realizations of an inertial radio reference frame. Intercontinental dual-frequency radio interferometric measurements during 68 sessions (including two recent sessions employing Mark III instrumentation) from 1978 to 1989 using NASA's DSN stations in California, Spain, and Australia give 8900 pairs of delay and delay rate observations. Analysis yields a catalog of positions of 200 extragalactic radio
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Sovers, O. J., and R. N. Treuhaft. "Radio Reference Frame Stability from VLBI Data." Symposium - International Astronomical Union 129 (1988): 331–32. http://dx.doi.org/10.1017/s0074180900134898.

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Intercontinental radio interferometric measurements between NASA's Deep Space Network stations yield a catalog of positions of 106 extragalactic radio sources, uniformly distributed between −45° and +85° declination. Almost all of the source positions have formal uncertainties between 0.5 and 3 milliarcseconds. Estimates of three independent sets of 32 source coordinates at average epochs 1980.0, 1983.2, and 1984.5 assess the level of stability of the reference frame over a five-year period. Comparisons of the three sets of source coordinates show a number of cases of > 2σ differences, part
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Dissertations / Theses on the topic "NASA's Space Network (SN)"

1

Long, Christopher C. "Data Processing for NASA's TDRSS DAMA Channel." International Foundation for Telemetering, 1996. http://hdl.handle.net/10150/611474.

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International Telemetering Conference Proceedings / October 28-31, 1996 / Town and Country Hotel and Convention Center, San Diego, California<br>Presently, NASA's Space Network (SN) does not have the ability to receive random messages from satellites using the system. Scheduling of the service must be done by the owner of the spacecraft through Goddard Space Flight Center (GSFC). The goal of NASA is to improve the current system so that random messages, that are generated on board the satellite, can be received by the SN. The messages will be requests for service that the satellites control sy
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Sanchez, Monica A. "Doppler Extraction for a Demand Assignment Multiple Access Service for NASA's Space Network." International Foundation for Telemetering, 1996. http://hdl.handle.net/10150/611433.

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International Telemetering Conference Proceedings / October 28-31, 1996 / Town and Country Hotel and Convention Center, San Diego, California<br>NASA's Space Network (SN) provides both single access (SA) and multiple access (MA) services through a pre-scheduling system. Currently, a user's spacecraft is incapable of receiving service unless prior scheduling occurred with the control center. NASA is interested in efficiently utilizing the time between scheduled services. Thus, a demand assignment multiple access (DAMA) service study was conducted to provide a solution. The DAMA service would al
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Vigil, Jeannine S. "NON-GIMBALED ANTENNA POINTING." International Foundation for Telemetering, 1997. http://hdl.handle.net/10150/609751.

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International Telemetering Conference Proceedings / October 27-30, 1997 / Riviera Hotel and Convention Center, Las Vegas, Nevada<br>This paper details the interaction of a small satellite with a space network and estimates the number of contacts and duration of contacts between the small, spin-stabilized satellite and a TDRS satellite. The simulations were performed using Satellite Tool Kit (STK) version 3.0, an orbital analysis software program. STK was configured for the four vehicles representing the spin-stabilized satellite and three TDRS satellites, TDRS East, West, and TDRS Zone of Excl
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Wilder, Ali, Randeep Pannu, and Amr Haj-Omar. "The Process of Implementing a RF Front-End Transceiver for NASA's Space Network." International Foundation for Telemetering, 2012. http://hdl.handle.net/10150/581854.

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Software defined radio (SDR) introduces endless possibilities for future communication technologies. Instead of being limited to a static segment of the radio spectrum, SDR allows RF front-ends to be more flexible by using digital signal processing (DSP) and cognitive techniques to integrate adaptive hardware with dynamic software. We present the design and implementation of an innovative RF front-end transceiver architecture for application into a SDR test-bed platform. System-level requirements were extracted from the Space Network User Guide (SNUG). Initial system characterization demonstra
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Gitlin, Thomas, Diem V. Nguyen, Marc Harlacher, and Robert Smarrelli. "NEXT GENERATION TDRSS MA BEAMFORMING SUBSYSTEM." International Foundation for Telemetering, 2000. http://hdl.handle.net/10150/608273.

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International Telemetering Conference Proceedings / October 23-26, 2000 / Town & Country Hotel and Conference Center, San Diego, California<br>The Tracking and Data Relay Satellite System (TDRSS) Multiple Access (MA) Return Service provides a communication path that originates at a customer platform (either a spacecraft or other type of emitter) and is routed through a geosynchronous Tracking and Data Relay Satellite (TDRS) back to a customer control center or data acquisition location. Conventional operations provide Space Network (SN) customers with MA Service based on a schedule generated f
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Books on the topic "NASA's Space Network (SN)"

1

Tsiao, Sunny. Read you loud and clear!: The story of NASA'S spaceflight tracking and data network. National Aeronautics and Space Administration, NASA History Division, Office of External Relations, 2007.

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2

Joseph, Campanella S., and United States. National Aeronautics and Space Administration., eds. NASA's Advanced Communications Technology Satellite (ACTS): An overview of the satellite, the network and the underlying technologies. National Aeronautics and Space Administration, 1988.

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3

Naderi, F. Michael. NASA's Advanced Communications Technology Satellite (ACTS): An overview of the satellite, the network and the underlying technologies. National Aeronautics and Space Administration, 1988.

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4

Naderi, F. Michael. NASA's Advanced Communications Technology Satellite (ACTS): An overview of the satellite, the network and the underlying technologies. National Aeronautics and Space Administration, 1988.

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5

United States. Government Accountability Office. NASA's deep space network: Current management structure is not conducive to effectively matching resources with future requirements : report to the Ranking Minority Member, Subcommittee on Space and Aeronautics, Committee on Science, House of Representatives. United States Government Accountability Office, 2006.

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Book chapters on the topic "NASA's Space Network (SN)"

1

Johnston, Mark D., Daniel Tran, Belinda Arroyo, et al. "Automating Mid- and Long-Range Scheduling for NASA's Deep Space Network." In Space Operations: Experience, Mission Systems, and Advanced Concepts. American Institute of Aeronautics and Astronautics, Inc., 2013. http://dx.doi.org/10.2514/5.9781624102080.0327.0352.

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Conference papers on the topic "NASA's Space Network (SN)"

1

Schaire, Scott, Bill Horne, James Schier, et al. "NASA Near Earth Network (NEN) and Space Network (SN) CubeSat Communications." In SpaceOps 2016 Conference. American Institute of Aeronautics and Astronautics, 2016. http://dx.doi.org/10.2514/6.2016-2598.

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2

Kuiper, T. B. H., W. A. Majid, S. Martinez, C. Garcia-Miro, and J. R. Rizzo. "Remote observing with NASA's Deep Space Network." In SPIE Astronomical Telescopes + Instrumentation, edited by Alison B. Peck, Robert L. Seaman, and Fernando Comeron. SPIE, 2012. http://dx.doi.org/10.1117/12.925201.

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Watson, W. A., and R. Clason. "NASA's Ground Network Space Communications and Data Transport Strategy." In Space OPS 2004 Conference. American Institute of Aeronautics and Astronautics, 2004. http://dx.doi.org/10.2514/6.2004-600-399.

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Stadter, P. A., B. L. Kantsiper, D. G. Jablonski, A. R. Golshan, and James Costrell. "Uplink arraying analysis for NASA's Deep Space Network." In 2010 IEEE Aerospace Conference. IEEE, 2010. http://dx.doi.org/10.1109/aero.2010.5446932.

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Carruth, Butch, Mark Johnston, Adam Coffman, Mike Wallace, Belinda Arroyo, and Shan Malhotra. "A Collaborative Scheduling Environment for NASA's Deep Space Network." In SpaceOps 2010 Conference: Delivering on the Dream (Hosted by NASA Marshall Space Flight Center and Organized by AIAA). American Institute of Aeronautics and Astronautics, 2010. http://dx.doi.org/10.2514/6.2010-2284.

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Kurtik, Susan, and Jeff Berner. "Tracking, Telemetry and Command Consolidation in NASA's Deep Space Network." In SpaceOps 2002 Conference. American Institute of Aeronautics and Astronautics, 2002. http://dx.doi.org/10.2514/6.2002-t2-18.

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Stoenescu, Tudor, and Loren Clare. "Traffic Modeling for NASA's Space Communications and Navigation (SCaN) Network." In 2008 IEEE Aerospace Conference. IEEE, 2008. http://dx.doi.org/10.1109/aero.2008.4526332.

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Johnston, Mark. "Automating Mid- and Long-Range Scheduling for NASA's Deep Space Network." In SpaceOps 2012. American Institute of Aeronautics and Astronautics, 2012. http://dx.doi.org/10.2514/6.2012-1296235.

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Manshadi, F. "Earth-based antenna network tradeoffs for NASA's Space Exploration Initiative (SEI)." In 1992 IEEE Aerospace Applications Conference Digest. IEEE, 1992. http://dx.doi.org/10.1109/aero.1992.200374.

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Barkley, Erik, Paul Wolgast, and Silvino Zendejas. "Service Quality Assessment for NASA's Deep Space Network: No longer a luxury." In 2010 IEEE Aerospace Conference. IEEE, 2010. http://dx.doi.org/10.1109/aero.2010.5446848.

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