Abstract
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.
Original language | English |
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Pages (from-to) | 31-35 |
Number of pages | 5 |
Journal | IEEE Aerospace and Electronic Systems Magazine |
Volume | 13 |
Issue number | 9 |
DOIs | |
Publication status | Published - Sept 1998 |
Externally published | Yes |