DATA FUSION USING SENSOR DATA AND A-PRIORI INFORMATION

The paper addresses the application of the Dempster-Shafer, fuzzy reas oning and backpropagation neural networks, to data fusion for automati c target recognition using three knowledge sources: a continuous wave (CW) coherent (X band) radar, which provides high-resolution doppler s ignature measurements, together with a surveillance radar, which provi des positional information of airborne targets, and apriori informatio n of flight times of targets flying regular flight paths, obtained fro m Adelaide Airport flight time tables. A comparison is then made betwe en the three data-fusion techniques, on the trial data obtained.