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这是一个用MATLAB编写的接联惯性导航系统精对准阶段KALMAN滤波仿真程序的修正程序。解决了因系数矩阵条件数过大造成的滤波发散问题。

RIMM与IMM的程序比较，就是两中方法比较哪个跟踪效果比较好

扩展KALMAN滤波方面的应用，应用于系统跟踪等方面的问题

A multi-Kalman filtering approach for video tracking of human-delineated objects in cluttered environments is an latest PH.D graduation paper! it give to most needing people.

Knowledge of the process noise covariance matrix is essential for the application of Kalman filtering. However, it is usually a difficult task to obtain an explicit expression of for large time varying systems. This paper looks at an adaptive Kalman filter method for dynamic harmonic state estimatio ...

A method is presented for augmenting an extended Kalman filter with an adaptive element. The resulting estimator provides robustness to parameter uncertainty and unmodeled dynamics.

The standard optimum Kalman filter demands complete knowledge of the system parameters, the input forcing functions, and the noise statistics. Several adaptive methods have already been devised to obtain the unknown information using the measurements and the filter residuals.

A new blind adaptive multiuser detection scheme based on a hybrid of Kalman filter and subspace estimation is proposed. It is shown that the detector can be expressed as an anchored signal in the signal subspace and the coefficients can be estimated by the Kalman filter using only the signature wave ...

kalman filter在参数估计中的应用

集中了kalman,condensation,帧差方法的小球跟踪程序.