NASA’s Deep Space Network (DSN) Lunar Exploration Upgrades (DLEU)
Explore the source record for details and available documents.
deep space network↗
SEARCH · Search NASA
Results for “deep networks”
Search indexed NASA NTRS and DOE OSTI research on propulsion, heat transfer, battery materials and energy systems. Follow report and document links to the original sources.
Quote a phrase for an exact phrase match. Source license links do not imply unrestricted reuse.
The Status of the Deep Space Network for the Cassini Radio Science Experiments
...The Frequency and Timing System (FTS) of the DSN as it existed before the Cassini program easily met the requirements for all of the NASA deep space missions. These requirements and the performance of the present DSN FTS are given.
DSN Deep Space Network FTS Frequency and Timing Sy↗
Deep Space Network equipment performance, reliability, and operations management using the discrepancy reporting management system (DRMS)
Explore the source record for details and available documents.
discrepancy reporting↗
VLBI in the Deep Space Network: Challenges and Prospects
The purpose of this paper is to highlight the current status and prospects for VLBI in the NASA DSN.
VLBI↗
Deep Space Network
For use by Solar System Ambassadors, in part or complete, for public presentation at various venues throughout the U.S.
DSN↗
Deep Impact Network Experiment (DINET)
DINET is a technology development experiment intended to increase the technical readiness of JPL s implementation of DTN protocols - "ION". The objective is to advance ION in flight and ground SW to TRL 8, with code of sufficient quality that future flight projects can easily use it at low risk. DINET is to be implemented on the Deep Impact flyby spacecraft. DINET operations will be performed in late 2008 during the Deep Impact spacecraft team "stand down" after EPOCH operations and before the start of development for DIXI operations.
Deep Impact↗
Monitor and Control of the Deep-Space network via Secure Web
(view graph) NASA lead center for robotic space exploration. Operating division of Caltech/Jet Propulsion Laboratory. Current missions, Voyagers, Galileo, Pathfinder, Global Surveyor. Upcoming missions, Cassini, Mars and New Millennium.
Deep-Space Network communications NCP Data Managem↗
Interference from the Deep Space Network's 70-m High Power Transmitter in Goldstone, CA to 3G Mobile Users Operating in the Surrounding Area
The International Telecommunications Union (ITU) has allocated 2110-2200 MHz for the third generation (3G) mobile services. Part of the spectrum (2110-2120 MHz) is allocated for space research service and has been used by the DSN for years for sending command uplinks to deep space missions. Due to the extremely high power transmitted, potential interference to 3G users in areas surrounding DSN Goldstone exists. To address this issue, a preliminary analytical study has been performed and computer models have been developed. The goal is to provide theoretical foundation and tools to estimate the strength of interference as a function of distance from the transmitter for various interference mechanisms, (or propagation modes), and then determine the size of the area in which 3G users are susceptible to interference from the 400-kW transmitter in Goldstone. The focus is non-line-of-sight interference, taking into account of terrain shielding, anomalous propagation mechanisms, and technical and operational characteristics of the DSN and the 3G services.
propagation↗
Holographic Measuremenst of the NASA-JPL Deep Space Network Antennas
Microwave holography, as applied to reflector antennas, is a technique which urtilizes the Fourier Transform relation between the complex far-field radiation pattern of an antenna and the complex aperture distribution.
Holographics↗
(abstract) The Role of the Deep Space Network for Cassini
Cassini radio science experiments have several categories of requirements for DSN tracking services. The three main areas for upgrade are in Ka-band, long-term frequence stability, and short-term frequency stability/phase noise level.
Cassini Deep Space Network telecommunications Grav↗
Array signal processing in the NASA Deep Space Network
In this paper, we will describe the benefits of arraying and past as well as expected future use of this application. The signal processing aspects of array system are described. Field measurements via actual tracking spacecraft are also presented.
arrays↗
Learning Search Control Knowledge for Deep Space Network Scheduling
While the general class of most scheduling problems is NP-hard in worst-case complexity, in practice, for specific distributions of problems and constraints, domain-specific solutions have been shown to perform in much better than exponential time.
Deep Space Network Search Control↗
The deep space network
Network engineering, hardware and software development, and tracking station operations for support of deep space unmanned flight projects are summarized.
Source record↗
Reducing cost with autonomous operations of the Deep Space Network radio science receiver
This paper describes the Radio Science Receiver system and the savings it has brought to mission operations. The design and implementation of remote and autonomous operations will be discussed along with the process of including user feedback along the way and lessons learned and procedures avoided.
radio science operations Deep Space Network↗
Deep space station 13: Deep Space Network research and development 34-m beam waveguide antenna
Explore the source record for details and available documents.
deep space station 13↗
Spacecraft Beacon Monitoring for Efficient Use of The Deep Space Network
This paper describes a new way of supporting highly autonomous missions being considered for use on upcoming NASA missions to Europa and Pluto. The spacecraft will have on-board intelligence to detemine whether it is healthy and when ground contact is needed. It will transmit one of 4 messages to the ground instead of normal full engineering telemetry of the spacecraft health.
Spacecraft↗
Deep Space Network Scheduling Using Evolutionary Computational Methods
The paper presents the specific approach taken to formulate the problem in terms of gene encoding, fitness function, and genetic operations. The genome is encoded such that a subset of the scheduling constraints is automatically satisfied. Several fitness functions are formulated to emphasize different aspects of the scheduling problem. The optimal solutions of the different fitness functions demonstrate the trade-off of the scheduling problem and provide insight into a conflict resolution process.
Deep Space Network (DSN)↗
Expanding the Deep Space Network to Support the Heliophysics System Observatory
Difficulties associated with receiving telemetry from satellites severely limit the volume of scientific data that can be downlinked to the ground. Current missions employ techniques such as compressing and pruning datasets to reduce the data volume they transmit. While existing mission designs are already restricted by limited telemetry budgets, future Heliophysics System Observatory missions will produce ever larger data volumes with higher resolution and cadence observations from constellations of satellites spread throughout the heliosphere1. In addition, heliophysics missions often produce data for the operational Space Weather community that requires a low latency between observation and downlink. In light of current limitations, the infrastructure to receive NASA satellite telemetry must be expanded and modernized to support the science needs of future data-rich heliophysics missions.
deep space network (DSN)↗