Statistical Modelling of GNSS Multipath Error Using Triple-Frequency Linear Combination

Multipath is considered as the major debilitating factor affecting the accuracy of global navigation satellite system (GNSS) and can lead to position error of 10 meters. Therefore, multipath characterization and modelling is indispensable. Now multipath error can be precisely estimated using triple frequency linear combination of GNSS signals. In this paper the triple frequency linear combination of code measurements of GPS (L1/L2C/L5) and Galileo (E1/E5a/E5b) signals are considered to precisely estimate the multipath and statistical model the error distribution. For multipath free environment the data with residual multipath error, does not follow any distribution.