22nd Congress of International Council of the Aeronautical Sciences, Harrogate, UK, 28 August - 1st September, 2000
Paper ICAS 2000-7.2.3
TARGET TRACKING WITH THE USE OF NEURAL NETWORKS
I. Titi, A. Kaplan
Erciyes University, Civil Aviation School, Kayseri, Turkey
Keywords: target tracking, neural networks
In this work, a simple method for target
tracking, based on Artificial Neural Networks
(ANN), is presented. The backpropagation
algorithm is used to train the networks by
using the measured position, velocity and
acceleration data sets obtained from six
different types of aircraft radars such as
cargo, bomber, fighter and commercial
aircrafts. The test results of ANNs are in very
good agreement with the measured results.
The results of ANNs are also compared with
the results of Kalman filter which is widely
used in target tracking. It is shown that the
results predicted by using ANNs are better
than those predicted by Kalman filter.
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