The Improved Method of Particle Filtering and Application for Kinematic GPS Positioning
Zhen Qin · Gnss World of China · 2010
According to the characteristic of kinematic GPS positioning in urban environment,an algorithm of kinematic GPS positioning based on particle filtering is proposed.Compared with algorithm of traditional Kalman filtering,the new algorithm uses the pseudo-range error distribution establish importance density,and can deal with error appearing non-Gaussian distribution without linearizing observation equation.It is showed from the actual example that the new algorithm improves accuracy of kinematic GPS positioning.