Integrated track splitting filter - efficient multi-scan single target tracking in clutter

A fully automatic tracking algorithm must be able to deal with an unknown number of targets, unknown target initiation and termination times, false measurements and possibly time-varying target trajectory behaviour. An efficient algorithm for tracking in this environment is presented here. This appr...

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Bibliographic Details
Published in:IEEE transactions on aerospace and electronic systems 2007-10, Vol.43 (4), p.1409-1425
Main Authors: Musicki, D., La Scala, B.F., Evans, R.J.
Format: Article
Language:English
Subjects:
Aircraft components
Algorithms
Australia
Clutter
Computational efficiency
Computational modeling
Electronic systems
Object detection
Radar applications
Radar detection
Radar tracking
Splitting
Studies
Target tracking
Tracking
Trajectory
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Summary:A fully automatic tracking algorithm must be able to deal with an unknown number of targets, unknown target initiation and termination times, false measurements and possibly time-varying target trajectory behaviour. An efficient algorithm for tracking in this environment is presented here. This approach makes use of estimates of the probability of target existence, which is an integral part of the algorithm. This allows for the efficient generation and management of possible target hypotheses, yielding an algorithm with performance that matches what can be obtained by multiple hypothesis tracking-based approaches, but at a significantly lower computational cost. This paper considers only the single target case for clarity. The extension to multiple targets is easily incorporated into this framework. Simulation studies are given that show the effectiveness of this approach in the presence of heavy and nonuniform clutter when tracking a target in an environment of low probability of detection and in an environment where the target performs violent manoeuvres.
ISSN:0018-9251
1557-9603
DOI:10.1109/TAES.2007.4441748