這是一個用MATLAB編寫的接聯慣性導航系統精對準階段KALMAN濾波仿真程序的修正程序。解決了因系數矩陣條件數過大造成的濾波發散問題。
上傳時間： 2013-12-10
上傳用戶：ve3344
RIMM與IMM的程序比較，就是兩中方法比較哪個跟蹤效果比較好
上傳時間： 2014-01-23
上傳用戶：eclipse
擴展KALMAN濾波方面的應用，應用于系統跟蹤等方面的問題
上傳時間： 2013-12-28
上傳用戶：561596
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.
標簽： human-delineated multi-Kalman filtering cluttered
上傳時間： 2015-09-07
上傳用戶：450976175
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 estimation and harmonic injection tracking.
標簽： application covariance Knowledge essential
上傳時間： 2014-01-19
上傳用戶：litianchu
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.
標簽： augmenting presented adaptive extended
上傳時間： 2014-01-05
上傳用戶：qq1604324866
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.
標簽： parameters knowledge the standard
上傳時間： 2013-12-17
上傳用戶：541657925
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 waveform and the timing of the desired user.
標簽： multiuser detection adaptive subspace
上傳時間： 2015-09-07
上傳用戶：xieguodong1234
kalman filter在參數估計中的應用
上傳時間： 2014-01-12
上傳用戶：lifangyuan12
集中了kalman,condensation,幀差方法的小球跟蹤程序.
標簽： condensation kalman 幀 跟蹤程序
上傳時間： 2013-12-26
上傳用戶：gaojiao1999
