加深对卡尔曼滤波算法的理解，了解卡尔曼滤波器算法的基本特点，掌握卡尔曼滤波算法应用研究的基本步骤和方法-deepen the Kalman filter algorithm understanding, knowledge Kalman Filter algorithm for the basic features, master Kalman filtering algorithm applied research on the basic steps and methods

基于TDOA定位，用卡尔曼滤波器的算法减小误差更准确地的去追踪和定位目标。-use the EKF algorithm to track the localization

卡尔曼滤波器用来消除非视距误差,提出一种针对NLOS环境的机遇卡尔曼滤波的动态跟踪定位算法-Kalman filter is used to eliminate non-line of sight errors presents a opportunity for the NLOS environment, the dynamic Kalman filter algorithm for tracking location