Lunar GNSS Receiver Experiment (LuGRE) Mission Data
This dataset provides products derived from the Lunar GNSS Receiver Experiment (LuGRE). It is a public dataset containing raw GNSS observables and signal sample batches acquired by the LuGRE payload throughout Firefly’s Blue Ghost Mission 1 (BGM1). The dataset contains
This dataset provides products derived from the Lunar GNSS Receiver Experiment (LuGRE).
It is a public dataset containing raw GNSS observables and signal sample batches acquired by the LuGRE payload throughout Firefly’s Blue Ghost Mission 1 (BGM1).
The dataset contains:
- Raw observable data for GPS and Galileo L1/E1 and L5/E5 bandwidth,
- Signal samples for L1/E1 and L5/E5 bandwidth.
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The dataset is supplemented by a curated set of SPICE kernels enabling the reconstruction and analysis of the Firefly Blue Ghost Mission 1 (BGM1) mission. These kernels are provided by Firefly and the NASA Commercial Lunar Payload Services (CLPS) program and are released by the NASA Navigation and Ancillary Information Facility (NAIF) as part of the CLPS Planetary Data System (PDS4) SPICE archive alongside data from other CLPS missions.
The kernels can be accessed at:
https://naif.jpl.nasa.gov/pub/naif/pds/pds4/clps/clps_spice/
Detailed archive documentation is available at:
https://naif.jpl.nasa.gov/pub/naif/pds/pds4/clps/clps_spice/document/spiceds_v003.html
They are also available as a named kernel set for interactive geometry computations within WebGeocalc:
https://wgc.jpl.nasa.gov:8443/webgeocalc/#NewCalculation
https://wgc2.jpl.nasa.gov:8443/webgeocalc/#NewCalculation
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ERRATA CORRIGE: Row 13 of /Ancillary/OPTABLE.csv should be updated as
| 23_0 | L | 61.19 | 2025/02/14 04:01:54 | RTP-SC | 2025/02/14 04:04:10 | 2025/02/14 04:56:32 | 2025/02/14 04:58:53.015 | L1/E1 | 4 | 8 | 400 |
Or replaced in the /Ancillary/OPTABLE.csv file as: 23_0,L,61.19,2025/02/14 04:01:54,RTP-SC,2025/02/14 04:04:10,2025/02/14 04:56:32,2025/02/14 04:58:53.015,L1/E1,4,8,400,,,
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Files are hosted on the source repository. Click download to access the full dataset.