Steady analysis of track fusion algorithm with dissimilar sensors
Rui Wang · Journal of Air Force Engineering University · 2001
A kinematic state vector fusion algorithm is described. For the sake of simplicity, it is assumed that two dissimilar sensors are equipped with nonidentical two dimensional optimal linear Kalman filter. The steady of cross covariance matrix is analyzed, and the essence of data fusion is open out.