1.CAmodelfusion.m
主要功能：
（1）完成两个传感器各自对基于CA模型的目标状态的Kalman估计；
（2）实现传感器的局部状态估计的SCC和CI融合算法的实现；
（3）画出局部估计和两种融合估计的位置、速度、加速度的误差；
（4）画出局部估计和两种融合估计的协方差椭圆。

2.CVmodelfusion.m
主要功能：
功能与CAmodelfusion.m基本相似，差异在于实现基于CV模型的估计和估计融合。
3.CovInter.m
主要功能：
寻找CI融合算法的融合估计的协方差阵的行列式最小的权值。

4.f_plot_ellipse_m.m
主要功能：
绘制四种估计的协方差椭圆
(1.CAmodelfusion.m main functions: (1) completion of two sensors each target state based on CA model of Kalman estimation　(2) the realization of the sensor partial state estimation algorithm SCC and CI integration　and (3) Draw Local estimated position and two fusion estimation, velocity and acceleration errors　(4) Draw two fusion of local estimates and estimated covariance ellipse. 2.CVmodelfusion.m Main Features: a CAmodelfusion.m similar, the difference is that the estimated CV-based estimation and model integration. 3.CovInter.m main functions: Find fusion algorithm fusion CI estimated covariance matrix of the determinant minimum weight. 4.f_plot_ellipse_m.m main functions: Draw four kinds estimate covariance ellipse)