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Fine Tuning Kalman Filter Using Simulink Design Optimization

Seyed Ali Baradaran Birjandi さんによって質問されました 2019 年 7 月 19 日
最新アクティビティ Kaashyap Pappu さんによって 回答されました 2019 年 8 月 8 日
I would like to tune my Kalman filter (Q and R matrices) using design optimization toolbox. I introduce the estimated signal and add a signal property to the optimizer. The signal property is Track Reference Signal with proper Time Vector and Amplitude. Although, the initial values of Q and R are relatively good, the second estimated signal ends up being zero. I wonder how I can prevent that, or in general tune my filter more optimaly.

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回答者: Kaashyap Pappu 2019 年 8 月 8 日

A similar query regarding the Q and R matrices’ optimization was addressed and elaborated upon here. It is important to model the noise characteristics prior to Kalman Filtering to obtain the Q and R matrices for better performance.

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