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Non-linear automatic target tracking in clutter using dynamic Gaussian mixture.
- Source :
- IET Radar, Sonar & Navigation (Institution of Engineering & Technology); Dec2012, Vol. 6 Issue 9, p937-944, 8p
- Publication Year :
- 2012
-
Abstract
- This study presents a complete algorithm for single target tracking in clutter, which addresses simultaneously: nonlinear measurements; uncertain target detections; presence of random clutter measurements; and uncertain target existence. Proposed algorithm generalises the integrated track splitting (ITS) filter by extending the ITS functionality to highly nonlinear measurements. The non-linear target tracking and estimation problems may also be solved by application of particle filters, albeit incurring a significant computational expense relative to proposed solution. In an environment without data association uncertainties proposed filter becomes a non-linear estimator. [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISSN :
- 17518784
- Volume :
- 6
- Issue :
- 9
- Database :
- Complementary Index
- Journal :
- IET Radar, Sonar & Navigation (Institution of Engineering & Technology)
- Publication Type :
- Academic Journal
- Accession number :
- 97414182
- Full Text :
- https://doi.org/10.1049/iet-rsn.2012.0093