Local motion feature aided ground moving target tracking with GMTI and HRR measurements

Author

Hong, L. ; Ningzhou Cui ; Pronobis, M. ; Scott, S.

Author_Institution

Dept. of Electr. Eng., Wright State Univ., Dayton, OH, USA

Volume

50

Issue

1

fYear

2005

Firstpage

127

Lastpage

133

Abstract

Tracking ground moving targets with ground moving target indicator (GMTI) measurements only could face a potential problem of losing tracks or track mingling, if the targets move together within the range of GMTI sensing uncertainty for an extended period of time. We propose a remedy for this problem by using local motion features extracted from high resolution range (HRR) profiles to assist data association. Unlike other HRR features, the new local motion features carry both spatial and temporal information and are ideal for feature aided tracking. A probabilistic logic based tracker is developed for local motion feature aided tracking.

Keywords

feature extraction; probabilistic logic; target tracking; GMTI measurement; HRR measurement; data association; ground moving target indicator measurement; high resolution range measurement; local motion feature aided ground moving target tracking; probabilistic logic; Data mining; Feature extraction; Kinematics; Motion measurement; Probabilistic logic; Radar countermeasures; Radar tracking; Spatial resolution; Target tracking; Time measurement; Data association; feature aided target tracking; ground moving target indicator (GMTI)/high resolution range (HRR) measurements; local motion features;

fLanguage

English

Journal_Title

Automatic Control, IEEE Transactions on

Publisher

ieee

ISSN

0018-9286

Type

jour

DOI

10.1109/TAC.2004.841119

Filename

1381659