Steady analysis of track fusion algorithm with dissimilar sensors
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Abstract:
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-covanance matrix is analyzed , and the essence of data fusion is open out.
