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Abstract: 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. Type-specific parameters of the input pulse stream are fed to a neural network classifier trained on samples of data collected in the field. Meanwhile, a clustering algorithm is used to separate pulses from different emitters according to... (Update)
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BibTeX entry: (Update)
E. Granger, M. A. Rubin, S. Grossberg and P. Lavoie, "A what-and-where fusion neural network for recognition and tracking of multiple radar emitters," Neural Networks, vol. 3, pp. 325-344, 2001. http://citeseer.ist.psu.edu/granger01whatwhere.html More
@article{ granger01whatwhere,
author = "Eric Granger and Mark A. Rubin and Stephen Grossberg and Pierre Lavoie",
title = "A What-and-Where fusion neural network for recognition and tracking of multiple radar emitters",
journal = "Neural Networks",
volume = "14",
number = "3",
pages = "325--344",
year = "2001",
url = "citeseer.ist.psu.edu/granger01whatwhere.html" }
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