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

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 proble...

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Bibliographic Details
Published in:IEEE transactions on automatic control 2005-01, Vol.50 (1), p.127-133
Main Authors: Hong, L., Ningzhou Cui, Pronobis, M., Scott, S.
Format: Article
Language:English
Subjects:
Applied sciences
Computer science
control theory
systems
Control theory. Systems
Data association
Data mining
Exact sciences and technology
feature aided target tracking
Feature extraction
ground moving target indicator (GMTI)/high resolution range (HRR) measurements
Kinematics
local motion features
Motion measurement
Probabilistic logic
Radar countermeasures
Radar tracking
Spatial resolution
Target tracking
Time measurement
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Description
Summary: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.
ISSN:0018-9286
1558-2523
DOI:10.1109/TAC.2004.841119