Self-Tuning Weighted Measurement Fusion Kalman Signal Filter
Wen Qiang Liu, Gui Li Tao, Ze Yuan Gu, Song Li · Applied Mechanics and Materials · 2013
For the single channel autoregressive moving average (ARMA) signals with multisensor and a colored measurement noise, when the model parameters and noise variances are partially unknown, based on identification method and Gevers-Wouters algorithm with a dead band, a self-tuning weighted measurement fusion Kalman signal filter is presented. A simulation example applied to signal processing shows its effectiveness.