A Gaussian Mixture PHD Filter for Jump Markov System Models
The probability hypothesis density (PHD) filter is an attractive approach to tracking an unknown and time-varying number of targets in the presence of data association uncertainty, clutter, noise, and detection uncertainty. The PHD filter admits a closed-form solution for a linear Gaussian multi-tar...
| Main Authors: | , , , |
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| Format: | Journal Article |
| Published: |
IEEE
2009
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| Online Access: | http://hdl.handle.net/20.500.11937/30818 |