Search NASA⌕ Search
Home/Archive/NASA NTRS

NASA NTRS · 20150007222

GRAIL Science Data System Orbit Determination: Approach, Strategy, and Performance

Fahnestock, Eugene·Asmar, Sami·Kahan, Daniel·Konopliv, Alex·Kruizinga, Gerhard·Oudrhiri, Kamal·Paik, Meegyeong·Park, Ryan·Strekalov, Dmitry·Yuan, Dah-Ning
View original source ↗Export metadata ↓

Abstract

No abstract available

Explore related subjects

Gravity Recovery and Interior Laboratory (GRAIL)orbit determinationlunar missionsMoonnavigation

Keep this discovery

Explore connections, maps & timelines

BibTeXRIS

Fahnestock, Eugene, Asmar, Sami, Kahan, Daniel, Konopliv, Alex, Kruizinga, Gerhard, Oudrhiri, Kamal, Paik, Meegyeong, Park, Ryan, Strekalov, Dmitry, Yuan, Dah-Ning. 2013-02-10. GRAIL Science Data System Orbit Determination: Approach, Strategy, and Performance. https://ntrs.nasa.gov/citations/20150007222

Cite the original work for its findings. Save a collection to share your selection of sources.

KEEP EXPLORING

Related reports

NASA NTRS2013

GRAIL Science Data System Orbit Determination : Approach, Strategy, and Performance

This paper details orbit determination techniques and strategies employed within each stage of the larger iterative process of preprocessing raw GRAIL data into the gravity science measurements used within gravity field solutions. Each orbit determination pass used different data, corrections to them, and/or estimation parameters. We compare performance metrics among these passes. For example, for the primary mission, the magnitude of residuals using our orbits progressed from approximately or equal to19.4 to 0.077 approximately or equal to m/s for inter-satellite range rate data and from approximately or equal to 0.4 to approximately or equal to 0.1 mm/s for Doppler data.

Gravity Recovery and Interior Laboratory (GRAIL)↗
NASA NTRS2012

Analysis of Phoenix Anomalies and IV and V Findings Applied to the GRAIL Mission

Analysis of patterns in IV&V findings and their correlation with post-launch anomalies allowed GRAIL to make more efficient use of IV&V services . Fewer issues. . Higher fix rate. . Better communication. . Increased volume of potential issues vetted, at lower cost. . Hard to make predictions of post-launch performance based on IV&V findings . Phoenix made sound fix/use as-is decisions . Things that were fixed eliminated some problems, but hard to quantify. . Broad predictive success in one area, but inverse relationship in others.

Gravity Recovery and Interior Laboratory (GRAIL)↗