Title :
A neural network approach towards multiradar track fusion
Author :
Mohandes, M. ; Bogner, R.E. ; Bouzerdoum, A. ; Pope, K.J.
Author_Institution :
Dept. of Electr. & Electron. Eng., Adelaide Univ., SA, Australia
Abstract :
The Jindalee operational over-the-horizon radar network has three radar stations which overlap in their coverage. Consequently, targets may be detected by more than one radar. Multiple tracks from one target present a large operator workload, especially at where regions overlap. This paper introduces a method to automate the track association process. Multilayer perceptron and statistical decision systems are used to classify tracks into associated and nonassociated pairs
Keywords :
multilayer perceptrons; radar computing; radar target recognition; radar tracking; sensor fusion; statistical analysis; target tracking; Australia; Jindalee operational over-the-horizon radar network; OTH radar; associated pairs; multilayer perceptron; multiradar track fusion; neural network approach; nonassociated pairs; statistical decision systems; Australia; Data mining; Earth; Frequency; Ionosphere; Neural networks; Radar detection; Radar signal processing; Radar tracking; Target tracking;
Conference_Titel :
Neural Networks, 1996., IEEE International Conference on
Conference_Location :
Washington, DC
Print_ISBN :
0-7803-3210-5
DOI :
10.1109/ICNN.1996.549142
