A Multipath Reduction Algorithm Based on GPS/BDS Measurements
Abstract A multipath reduction algorithm based on GPS/BDS measurement is proposed in this paper. With pseudorange and Doppler observations of BDS/BDS, the availability of observations is enhanced. In addition, combined with the robust adaptive Kalman filter, the multipath errors caused by high buildings in urban areas can be efficiently reduced and thus the accuracy and reliability of satellite navigation is improved. Results from a car driving test show that position error is reduced from 4.9 m to 4.3 m with GPS and GPS/BDS point positioning respectively. When the robust filter method is adopted, the position error has been further reduced from 4.3 m to 3.4 m.
Key words :
GPS/BDS
Doppler
adaptive filtering
real-time kinematic
Cite this article:
YIN Xiao,HU Congwei,YAO Lianbi et al. A Multipath Reduction Algorithm Based on GPS/BDS Measurements[J]. jgg, 2017, 37(5): 457-461.
YIN Xiao,HU Congwei,YAO Lianbi et al. A Multipath Reduction Algorithm Based on GPS/BDS Measurements[J]. jgg, 2017, 37(5): 457-461.
URL:
http://www.jgg09.com/EN/ OR http://www.jgg09.com/EN/Y2017/V37/I5/457
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