TY - GEN
T1 - GLONASS signal-in-space anomalies since 2009
AU - Heng, Liang
AU - Gao, Grace Xingxin
AU - Walter, Todd
AU - Enge, Per
PY - 2012
Y1 - 2012
N2 - As GLONASS has fully restored its constellation, there is an increasing desire to use multiple constellations to improve positioning performance. Knowledge of GLONASS signal-in-space (SIS) error behavior is very important for this purpose. However, few study has been done on GLONASS SIS anomalies due to several difficulties. This paper overcomes these difficulties and thoroughly characterizes the GLONASS SIS anomalies since 2009. In this paper, we compute GLONASS SIS user rang errors by comparing broadcast ephemerides/clocks with precise ephemerides/clocks. As the broadcast navigation data files from a global receiver network include data-logging errors, we developed a majority-voting-based algorithm to recover original navigation messages. Besides, we proposed a set of criteria to detect potential GLONASS SIS anomalies, bypassing the difficulties such as no user range accuracy information and no official integrity performance standard. Finally, we processed a total of 80,814,366 broadcast GLONASS navigation messages collected between Jan 1, 2009 and Aug 11, 2012, and identified 192 potential SIS anomalies. The results show an improving GLONASS SIS integrity performance over the past three years. Besides, we discovered four events of simultaneous multiple anomalies, including a constellation-wide clock change on Oct 28, 2009 that impacted all satellites. Furthermore, the results show that anomalies occur more frequently when satellites are out of the tracking coverage of the GLONASS monitor stations.
AB - As GLONASS has fully restored its constellation, there is an increasing desire to use multiple constellations to improve positioning performance. Knowledge of GLONASS signal-in-space (SIS) error behavior is very important for this purpose. However, few study has been done on GLONASS SIS anomalies due to several difficulties. This paper overcomes these difficulties and thoroughly characterizes the GLONASS SIS anomalies since 2009. In this paper, we compute GLONASS SIS user rang errors by comparing broadcast ephemerides/clocks with precise ephemerides/clocks. As the broadcast navigation data files from a global receiver network include data-logging errors, we developed a majority-voting-based algorithm to recover original navigation messages. Besides, we proposed a set of criteria to detect potential GLONASS SIS anomalies, bypassing the difficulties such as no user range accuracy information and no official integrity performance standard. Finally, we processed a total of 80,814,366 broadcast GLONASS navigation messages collected between Jan 1, 2009 and Aug 11, 2012, and identified 192 potential SIS anomalies. The results show an improving GLONASS SIS integrity performance over the past three years. Besides, we discovered four events of simultaneous multiple anomalies, including a constellation-wide clock change on Oct 28, 2009 that impacted all satellites. Furthermore, the results show that anomalies occur more frequently when satellites are out of the tracking coverage of the GLONASS monitor stations.
UR - http://www.scopus.com/inward/record.url?scp=84879632038&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84879632038&partnerID=8YFLogxK
M3 - Conference contribution
AN - SCOPUS:84879632038
SN - 9781622769803
T3 - 25th International Technical Meeting of the Satellite Division of the Institute of Navigation 2012, ION GNSS 2012
SP - 833
EP - 842
BT - 25th International Technical Meeting of the Satellite Division of the Institute of Navigation 2012, ION GNSS 2012
T2 - 25th International Technical Meeting of the Satellite Division of the Institute of Navigation 2012, ION GNSS 2012
Y2 - 17 September 2012 through 21 September 2012
ER -