This paper studies the problem of tracking a ballistic object in the reentry phase by processing radar measurements. A suitable (highly nonlinear) model of target motion is developed and the theoretical Cramer—Rao lower bounds (CRLB) of estimat

Start with the runlocalization track.m which is the entrance function to your lab. This function reads two les determined by simoutle and maple input arguments which contain information about sensor readings and the map of the environment re

用EKF和AEKF方法对导弹状态进行估计仿真，并进行对比分析-Missile state estimation simulation with EKF and AEKF methods of comparative analysis

基于扩展卡尔曼滤波的电池soc估计simulink模型，将模型计算得到的电池soc与扩展卡尔曼滤波得到的电池soc进行比较。(Based on the Simulink model of battery SOC estimation with extended Kalman filter, the battery SOC calculated by the model is compared with the battery SOC obtained by extended Kalman fil