Radar Signals Sorting with Kohonen Neural Net

Kohonen neural network is capable of self-organizing and recognizing clustering center, which is used in many artificial Intelligence (AI) fields. A radar electronic support measures (ESM) system must sort the received radar pulse signal to cells with the same features according to the single pulse parameters, such as radio frequency (RF), angle of arrival (AOA), pulse width (PW), etc. Considering the variety character of pulse parameters, a new definition of distance is proposed in this paper, which decreases the effect of large variety range of special parameter among them. And in order to increase the convergence speed, this paper revised the SOFM algorithm according to the effect of pulse special parameter. The computer simulation shows the validity of these improvements