Abstract: The scanning style of the radar antenna varies with the working state. The correct recognition of radar scanning style is important in deciding its threatening degree to our side. It is also an important means to recognize the types and working styles of radar. We uses the radial basis function (RBF) network based on immune evolutionary algorithm to recognize the scanning style of the radar antenna. Computer simulation shows that for simple radar scanning styles, the recognition rate of immune RBF network has reached 99. 13% when SNR is 4dB. The training period of the network has only 99 steps, which proves its excellent performance.

Key words: RBF network, evolutionary algorithm, immune evolutionary algorithm, scanning style of the radar antenna