The performance of the normal Kalman filter (KF) will decrease when it is constructed on the basis of an erroneous model. Xia rt al. (1994) proposed a new adaptive state estimation algorithm to solve the divergence problem for the KF, namely adaptive fading Kalman filter (AFKF). This paper discusses the error covariance equation in the AFKF suggested by Xia er al. (1994).