对经典的卡尔曼滤波以及针对非线性系统的扩展卡尔曼滤波，不敏卡尔曼滤波算法进行了分析比较。
The state estimations algorithm for Target tracking have been studied and compared such as Kalman filter, Extented Kalman filter and Unscented Kalman filter.
不敏卡尔曼滤波（UKF）是一种新的非线性滤波的方法，它能减少线性化截断误差对系统定位精度的影响。
Unscented Kalman filter(UKF) is a new nonlinear filtering method which does not linearize the equations thus avoiding the error due to the linearization.
分析了基于卡尔曼滤波器的残差检验法对传感器缓变故障检测的不敏感性原因。
The reason that the residual test method based on Kalman filter is insensitive to sensor soft fault detection is analyzed.
分析了基于卡尔曼滤波器的残差检验法对传感器缓变故障检测的不敏感性原因。
The reason that the residual test method based on Kalman filter is insensitive to sensor soft fault detection is analyzed.
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