Radar Target Identification by Self-Organization Neural Network

A new technique to identify radar targets is presented which is based on a Kohonen self-organization neural network. It can map the pattern space of multiple-frequencies to a two-dimensional neuron array. A splitting algorithm to tune the weights between input and output nodes is also proposed. The performance identifying two airerafts by this neural classifier is studied and the results indicate that this new technique has bright prospects in the radar target identification.