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Proceedings Paper

Neural networks for sensor data fusion
Author(s): Arthur Filippidis; Robert E. Bogner
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Paper Abstract

We address the application of the backpropagation neural network to data fusion for automatic target recognition using three knowledge sources: continuous wave (cw) coherent (X-band) radar, which provides us with high resolution Doppler signature measurements, together with a surveillance radar, which provides positional information of airborne targets, and priori information of flight times of targets flying regular flight paths, obtained from Adelaide Airport Flight time tables.

Paper Details

Date Published: 3 September 1993
PDF: 11 pages
Proc. SPIE 1955, Signal Processing, Sensor Fusion, and Target Recognition II, (3 September 1993); doi: 10.1117/12.154996
Show Author Affiliations
Arthur Filippidis, Defence Science and Technology Organisation (Australia)
Robert E. Bogner, Univ. of Adelaide/South Australia (Australia)

Published in SPIE Proceedings Vol. 1955:
Signal Processing, Sensor Fusion, and Target Recognition II
Ivan Kadar; Vibeke Libby, Editor(s)

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