Multipath estimation algorithm using various spacing sampling in satellite navigation signal

An algorithm using various spacing sampling was proposed in order to improve the accuracy of multipath estimation. Kalman filter was applied to achievement of various spacing sampling by controlling local reference code phase, through that the final sampling position of correlation function will be adjusted as close as possible to the peaks of direct signal and multipath, thereby increasing accuracy of estimation and performance of multipath mitigation. Filter design method and selection of key parameters were analyzed. It is proved that the various spacing sampling can get a more accurate estimation of multipath parameters and achieve better multipath mitigation performance than conventional fixed spacing sampling with the same number of correlators.