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

被引：26

作者：

Hong, L ^{[1
]}

Cui, NZ

Pronobis, M

Scott, S

机构：

[1] Wright State Univ, Dept Elect Engn, Dayton, OH 45435 USA

[2] USAF, Res Lab, Informat Directorate, Rome, NY 13441 USA

来源：

IEEE TRANSACTIONS ON AUTOMATIC CONTROL | 2005年 / 50卷 / 01期

关键词：

data association; feature aided target tracking; ground moving target indicator (GMTI)/high resolution range (HRR) measurements; local motion features;

D O I：

10.1109/TAC.2004.841119

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

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 cam, 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.

引用

页码：127 / 133

页数：7

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