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Association of tracks from Over The Horizon Radar

Journal Article


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.

Publication Date


  • 1998

Citation


  • Bogner, R. E., Bouzerdoum, A., Pope, K. J., & Zhu, J. (1998). Association of tracks from Over The Horizon Radar. IEEE Aerospace and Electronic Systems Magazine, 13(9), 31-35. doi:10.1109/62.715537

Scopus Eid


  • 2-s2.0-0032165240

Start Page


  • 31

End Page


  • 35

Volume


  • 13

Issue


  • 9

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.

Publication Date


  • 1998

Citation


  • Bogner, R. E., Bouzerdoum, A., Pope, K. J., & Zhu, J. (1998). Association of tracks from Over The Horizon Radar. IEEE Aerospace and Electronic Systems Magazine, 13(9), 31-35. doi:10.1109/62.715537

Scopus Eid


  • 2-s2.0-0032165240

Start Page


  • 31

End Page


  • 35

Volume


  • 13

Issue


  • 9