Association of tracks from over the horizon radar

Author

Bogner, R.E. ; Bouzerdoum, A. ; Pope, K.J. ; Zhu, J.

Author_Institution

Dept. of Electr. & Electron. Eng., Adelaide Univ., SA, Australia

Volume

13

Issue

9

fYear

1998

fDate

9/1/1998 12:00:00 AM

Firstpage

31

Lastpage

35

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

Keywords

Bayes methods; associative processing; decision theory; identification; ionospheric electromagnetic wave propagation; neural nets; pattern classification; radar tracking; Bayesian hypothesis testing; Over-The-Horizon Radar; ambiguities; associate pairs of tracks; multiple ionospheric layers; multiple track association; neural networks; pattern classification; statistical decision; target identification; track affinities; track coordinate registration; tracks; Azimuth; Bayesian methods; Feature extraction; Neural networks; Pattern classification; Radar tracking; Shape measurement; Statistical analysis; Target tracking; Testing;

fLanguage

English

Journal_Title

Aerospace and Electronic Systems Magazine, IEEE

Publisher

ieee

ISSN

0885-8985

Type

jour

DOI

10.1109/62.715537

Filename

715537