Abstract: In distributed detection system,it is quite common that unknown noise exist in wireless channel layer,and the fusion rule based on maximum likelihood function with unknown distribution noise perform badly.In order to improve the accuracy of signal detection,this paper presents a robust fusion rule based on minimax setting method.The method adopt structural form of maximum likelihood function and Huber′s minimax approach.Finally,the explicit formulas for the detection and false alarm probabilities are derived.The rule is applied to the noise classes of nondegenerate,with a bounded variance and contaminated Gaussian distributions.Numerical simulation results show that the signal detection probability is improved. Meanwhile,the fusion rule has robustness.