2017
Kalman filter based system identification exploiting the decorrelation effects of linear prediction
ICASSP 2017accepted
In system identification one problem is the autocorrelation of the excitation signal which often crucially affects the adaptation process. This paper focuses on the Kalman filter based adaptation working in the frequency domain and the implication due to correlated signal input. Principle simulation…