基于粒子滤波的ＧＰＳ多径估计

针对全球卫星定位系统中的多径参数估计问题,提出一种基于粒子滤波的算法.首先,使用信号压缩技术以利于粒子权的计算;然后,采用Rao-Biackwellization方法来降低粒子滤波估计的状态空间维数;最后,通过Laplace方法得到一个优化的重要分布.仿真实验表明了该算法的有效性.

GPS multipath estimation based particle filtering

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.