Radar Esm with a What-and-where Fusion Neural Network
نویسندگان
چکیده
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.
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