Radar ESM with a what-and-where fusion neural network

A neural network recognition and tracking system is proposed for classification of radar pulses in autonomous electronic support measure systems. Radar type information is combined with position-specific information from active emitters in a scene. Such a what-and-where fusion strategy is motivated by a similar subdivision of labor in the brain.