A hybrid RBF training method based on immune algorithm and least square method is proposed and applied in radar antenna scanning-style recognition system. By introducing the diversity control and immune memory mechanism in immune algorithm, the efficiency of the network training algorithm is improved and the immature convergence problem is restrained. Computer simulations demonstrate that the recognition system based on the proposed RBF network has a high recognition rate with concise structure.