Publisher's Synopsis
This paper presents a procedure for estimating the Kalman filter gain from output residuals. The system state space model is assumed to be known, but the process and noise covariance are unknown. The proposed procedure consists of three basic steps. First, the output residuals are computed from the given model and a given set of input-output data. Second, a linear regression model for this part of the response is computed by a least squares solution. Third, the Kalman filter gain is then estimated from the coefficients of this model. Numerical results using experimental data are presented to illustrate the validity of the developed procedure. Juang, Jer-Nan and Chen, Chung-Wen and Phan, Minh Langley Research Center NASA-TM-107603, NAS 1.15:107603 RTOP 590-14-21-01...
