粒子滤波在被动定位跟踪中的运用

Application of Particle Filter to Target Tracking of Passive Location

被动定位系统是一个仅有角测量的系统,对于目标距离是不可观测的。通过对角度的测量来估计目标的运动状态。首先给出定位系统的系统和测试模型。此类跟踪问题本质上是一个非线性滤波估计问题,其目的就是从被污染的测试数据中提取好的信息。描述了基于贝叶斯理论的目标跟踪粒子滤波算法,该算法可应用于非线性、非高斯系统中。并给出了一种改进的方法来遏制粒子退化和贫乏问题,最后对算法进行了检验。

The system of passive location uses bearing-only measurement to estimate the states of target includ-ing velocity,position and acceleration.First,the mathematical model of the passive location is build.The basicproblem of the target tracking that is something about nonlinear filter is to obtain clear message from data cor-rupted by noise.It introduces particle filter based on Bayesian theorem,which can be applied in the systems ofnon-linear and non-Gaussian.At last,a method is developed to reject the degeneracy and impoverishment of parti-cle and a simulation is done to test the method.