On the identification of observable orbit parameters, with application to lunar orbiter tracking.
Orbit parameters identification method based on given tracking data span applied to lunar orbiter tracking using Fourier analysis
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Orbit parameters identification method based on given tracking data span applied to lunar orbiter tracking using Fourier analysis
The number of objects in earth orbit tracked by the US Space Surveillance Network (SSN) has experienced unprecedented growth since March, 2003. Approximately 2000 orbiting objects have been added to the "Analyst list" of tracked objects. This growth is primarily due to the resumption of full power/full time operation of the AN/FPS-108 Cobra Dane radar located on Shemya Island, AK. Cobra Dane is an L-band (23-cm wavelength) phased array radar which first became operational in 1977. Cobra Dane was a "Collateral Sensor" in the SSN until 1994 when its communication link with the Space Control Center (SCC) was closed. NASA and the Air Force conducted tests in 1999 using Cobra Dane to detect and track small debris. These tests confirmed that the radar was capable of detecting and maintaining orbits on objects as small as 5-cm diameter. Subsequently, Cobra Dane was reconnected to the SSN and resumed full power/full time space surveillance operations on March 4, 2003. This paper will examine the new data and its implications to the understanding of the orbital debris environment and orbital safety.
Orbital tracking program for analysis of data from C-band and S-band radar
Gravity data from lunar orbiter tracking, discussing Kepler element role
NASA Earth Observing System (EOS) currently operates dozens of remote sensing satellites, many of which can be viewed directly in NASA’s open-source Worldview application. Much of this satellite imagery can be viewed in near-real time as it is processed and served by NASA’s Global Imagery Browse Service (GIBS). To better educate users on the time and location of imagery, GIBS serves orbit track specific layers for each satellite. Worldview has historically served these layers as raster images but recent updates have enabled the application to now serve these layers using vector tiles. With the release of Worldview v3.0, orbit track layers can be displayed using mapbox vector tiles (MVT). This visualization format allows users to not only view and change the color of orbit track layers, as they could do previously with rasters, but also inspect individual vector points and filter layers by specific parameters such as time. The data contained within a MVT is further enhanced in Worldview with the combination of a JSON description file served from GIBS used to describe the MVT data. This presentation will provide an overview of the process of consuming orbit track vector tiles and data files from GIBS using a pipeline to configure, build and ultimately display the orbit tracks in Worldview. Furthermore, the presentation aims to describe how others can leverage our open-source code to display and enhance vector layers in their own applications.
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Lunar gravitational field obtained from Lunar Orbiter tracking data, with gravity potential as spherical harmonics series and lunar gravitational constant determined
Lunar gravitational field obtained from Lunar Orbiter tracking data, with gravity potential as spherical harmonics series and lunar gravitational constant determined
Lunar Orbiter tracking data for long term selenodesy
Orbit determination accuracy using synchronous satellite system for tracking near earth spacecraft
Gravitational field of moon from numerical analysis of Lunar Orbiter tracking data
The problem created by the presence of wild or outlying data points among orbital tracking data, is addressed. Consideration is given to the effects of such outliers on the orbit determination process, and methods for minimizing or even eliminating these effects are proposed. Some preliminary efforts implementing these new methods are described, and the results thus far obtained are summarized. Based on these ideas and results, recommendations are made for future investigation.
Orbit determination for Saturn vehicles, discussing skin tracking by instrumentation radar and atmospheric drag acting on vehicles
Simulation testing pilot performance in orbiting Gemini spacecraft based on tracking rate errors and fuel consumption
Tracking data for Lunar Orbiter I producing first estimate of overall gravitational field of Moon, noting spacecraft will not impact on Moon before completing photographic mission
Lunar gravitational field determination from analysis of Lunar Orbiter spacecraft tracking data
Linear parameter combinations for lunar orbit determination
Orbit determination for Saturn vehicles, discussing skin tracking by instrumentation radar and atmospheric drag acting on vehicles