GPS multipath estimation based particle filtering
Hong Yuan · Kongzhi yu juece · 2010
An algorithm based on particle filtering is presented to solve GPS multipath parameter estimation problem.Firstly,the signal compression is used to facilitate the computation of important weight.Then,Rao-Blackwellization method is applied to reduce the size of state space and computational burden.Finally,an approximation of the optimal density is obtained by using a Laplace approximation of the likelihood function.Simulation results show the effectiveness of the proposed method.