Model Parameter Adaption-Based Multi-Model Algorithm for Extended Object Tracking Using a Random Matrix

Traditional object tracking technology usually regards the target as a point source object. However, this approximation is no longer appropriate for tracking extended objects such as large targets and closely spaced group objects. Bayesian extended object tracking (EOT) using a random symmetrical po...

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Bibliographic Details
Published in:Sensors (Basel, Switzerland) Switzerland), 2014-04, Vol.14 (4), p.7505-7523
Main Authors: Li, Borui, Mu, Chundi, Han, Shuli, Bai, Tianming
Format: Article
Language:English
Subjects:
Adaptive filters
Aircraft
Algorithms
Approximation
Bayesian approach
Computer simulation
extended object tracking
interacting multi-model algorithm
Kinematics
Maneuvers
Mathematical models
model parameter adaption
Noise measurement
random matrix
Sensors
Simulation
Tracking
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