A Fusion Recognition Method of Anti-Interference Based on Support

According to the problem that measurement data of the sensors are distorted seriously in the condition of interference,a kind of anti-interference fusion recognition method is proposed.The core idea of this method is distributing corresponding weight to each sensor,and the distribution of weight value is in terms of support of each sensor.When the sensor gets less support from others which means the sensor is jammed more and would get less weight.The basic probability assignment(BPA) of target will be achieved when the measurement data after weighted fusion is as the input of RBF neural network,finally the target will be recognized with the D-S evidence theory of decision rules.The simulation results show that the interference could be restrained by the proposed method.