For the tracking of maneuvering targets under complicated air-battle environment, an adaptive filter data fusion algorithm for netted radar tracking is presented. First, according to a certain rule, the algorithm is used to find the best weights to make the fusion estimate an optimal goal. Secondly, the point is put into adaptive filter as an input signal. The interest related new adaptive filtering algorithm is used for the error change in the state equation and measurement equation to adjust the size of the gain matrix. According to the adaptive filter system state noise output signal and the current data, weights for radars are adjusted on line by using fuzzy logic system. The system output is the adaptive data fusion target optimal state estimation. The results of simulation verify the superiority of the algorithm in precision and convergence speed and realize the adaptive tracking for the target of netted radar system.