The JPL 2024b X/Ka Celestial Frame Re-weighting to Reduce Systematics

The X/Ka-band (8.4/32 GHz) Celestial Reference Frame became one component of the ICRF-3 in 2018. In the six years since, the X/Ka data set has increased by a factor of two as well as adding the much needed north-south geometry from Japan to Australia. Median formal precision is now better than 100 micro-arseconds. The accuracy of the frame is limited by systematic errors larger than the formal precision. The limited network geometry allows for geometric distortions—most notably quadrupole 2,0 distortions. This paper will compare the use of two data weighting methods to account for the dominant noise from wet tropospheric fluctuations and the resulting impact on systematic frame distortions:1) white noise weighting2) elevation dependent white noise

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2024-09-04
DOI
https://doi.org/10.5281/zenodo.13684949
Primary Topic
GNSS positioning and interference
Type
article
Field-Weighted Citation Impact
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article

The JPL 2024b X/Ka Celestial Frame Re-weighting to Reduce Systematics

Zenodo (CERN European Organization for Nuclear Research)
GNSS positioning and interference
article

The JPL 2024b X/Ka Celestial Frame Re-weighting to Reduce Systematics

article en

Abstract

The X/Ka-band (8.4/32 GHz) Celestial Reference Frame became one component of the ICRF-3 in 2018. In the six years since, the X/Ka data set has increased by a factor of two as well as adding the much needed north-south geometry from Japan to Australia. Median formal precision is now better than 100 micro-arseconds. The accuracy of the frame is limited by systematic errors larger than the formal precision. The limited network geometry allows for geometric distortions—most notably quadrupole 2,0 distortions. This paper will compare the use of two data weighting methods to account for the dominant noise from wet tropospheric fluctuations and the resulting impact on systematic frame distortions:1) white noise weighting2) elevation dependent white noise

Zenodo (CERN European Organization for Nuclear Research)
California Institute of Technology (US)
Openalex Percentile: Top 36%
GNSS positioning and interference
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