Signal quality monitoring of SBAS for satellite-induced elevation-dependent anomaly

GNSS users may suffer satellite-induced elevation-dependent (SIED) ranging errors when some faults occur in the signal generation hardware onboard, as in the cases of GPS SVN-49 and BDS-II satellites. The wide-area differential corrections of SBAS will be invalidated in face of a SIED anomaly due to...

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Veröffentlicht in:GPS solutions 2023-07, Vol.27 (3), p.122, Article 122
Hauptverfasser: Wang, Xiang, Cui, Xiaowei, Wang, Chuanrui, Lu, Mingquan
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Sprache:eng
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Zusammenfassung:GNSS users may suffer satellite-induced elevation-dependent (SIED) ranging errors when some faults occur in the signal generation hardware onboard, as in the cases of GPS SVN-49 and BDS-II satellites. The wide-area differential corrections of SBAS will be invalidated in face of a SIED anomaly due to the various elevations of the widely distributed reference stations; thus, the integrity for safety–critical users may be damaged. Signal quality monitor (SQM) is utilized to detect potential hazardous deformations in GNSS signals and protect the integrity. However, in face of a SIED anomaly, the reference-averaging process of current SQM architecture is invalidated as well because the SQM measurements of reference stations will be elevation-dependent. We propose two new approaches to augment and enhance the current SQM method, namely reference-station-voting and metric-differencing processes, and develop a methodology of SQM algorithm design and evaluation as a support for validation of the improved SQM method. By applying GPS L1 C/A signals, we verify that the proposed new approaches of the improved SQM method as well as the designed SQM algorithms are effective. Furthermore, we prove that a hybrid SQM algorithm based on both multi-correlator and chip domain observables is able to protect the SBAS users against SIED anomalies with a performance margin of about 4 dB under the requirements of Category-I precision approach of civil aviation.
ISSN:1080-5370
1521-1886
DOI:10.1007/s10291-023-01437-1