In Over-The-Horizon Radar (OTHR), multiple ionospheric layers cause several tracks per target to be observed. This effect causes ambiguities in target identification and track coordinate registration. A pattern classification approach is proposed for associating tracks. Neural networks and statistical methods are applied to combine track affinities and associate pairs of tracks. The proposed approach provides a practical and efficient way of dealing with multiple track association when the number of targets is large and optimal. Bayesian hypothesis testing is not practical.
Association of tracks from over the horizon radar
IEEE Aerospace and Electronic Systems Magazine ; 13 , 9 ; 31-35
1998-09-01
824103 byte
Article (Journal)
Electronic Resource
English
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