Estimation Algorithms via Kalman Filter Gain

Abstract

Estimation algorithms using Kalman filter gain are proposed. Kalman filter gain is computed at each iteration through auxiliary quantities. The proposed estimation algorithm is faster than the traditional Kalman filter for time invariant systems, is equal fast to the traditional Kalman filter for steady state case and can be faster than the traditional Kalman filter for time varying systems, depending on the model dimensions.