JOURNAL ARTICLE

Tracking multiple maneuvering targets from possibly unresolved, missing or false measurements

Abstract

In Daum (1992) it has been very well explained that sensor resolution modeling is crucial for the tracking of closely spaced targets. For non-maneuvering targets appropriate models and tracking approaches have been developed by Chang & Bar-Shalom (1984) and by Koch & Van Keuk (1997). This paper combines their sensor resolution submodels with a descriptor system approach towards tracking two suddenly maneuvering closely spaced targets from measurements that may be false, missing or unresolved. Using this descriptor system formalism, exact Bayesian and approximate filter equations are derived.

Keywords:
Tracking (education) Artificial intelligence Computer science Radar tracker Bayesian probability Computer vision Tracking system Formalism (music) Low resolution Kalman filter High resolution Radar Remote sensing

Metrics

9
Cited By
1.15
FWCI (Field Weighted Citation Impact)
20
Refs
0.82
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Target Tracking and Data Fusion in Sensor Networks
Physical Sciences →  Computer Science →  Artificial Intelligence
Control Systems and Identification
Physical Sciences →  Engineering →  Control and Systems Engineering
Structural Health Monitoring Techniques
Physical Sciences →  Engineering →  Civil and Structural Engineering

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