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 |
|---|---|
| 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 |