Neural networks for sensor data fusion

Arthur Filippidis; Robert E. Bogner

doi:10.1117/12.154996

3 September 1993 Neural networks for sensor data fusion

Arthur Filippidis, Robert E. Bogner

Proceedings Volume 1955, Signal Processing, Sensor Fusion, and Target Recognition II; (1993) https://doi.org/10.1117/12.154996
Event: Optical Engineering and Photonics in Aerospace Sensing, 1993, Orlando, FL, United States

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.

Citation Download Citation

Arthur Filippidis and Robert E. Bogner "Neural networks for sensor data fusion", Proc. SPIE 1955, Signal Processing, Sensor Fusion, and Target Recognition II, (3 September 1993); https://doi.org/10.1117/12.154996

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