Abstract: As one fuses the position information obtained from anti-aircraft lookout post and the track from bearings-only tracking sensors，there are different observation dimensions，different sampling rates and longer intervals between them.On the base of the sample fusion algorithm，a new fusion algorithm is presented to the problem that fusion between the observation data from the anti-aircraft lookout post network and the local tracks from the bearings-only tracking sensors.The new algorithm not only alters the corresponding track data，but also alters the neighbor track data in some degree.The experimental results illustrate the proposed algorithm has better performance than the traditional simple fusion algorithm.