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.