Forward-Backward Probability Hypothesis Density Smoothing
A forward-backward probability hypothesis density (PHD) smoother involving forward filtering followed by backward smoothing is proposed. The forward filtering is performed by Mahler's PHD recursion. The PHD backward smoothing recursion is derived using finite set statistics (FISST) and standard...
| Main Authors: | , , |
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| Format: | Journal Article |
| Published: |
Aerospace & Electronic Systems Society
2012
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| Online Access: | http://hdl.handle.net/20.500.11937/47396 |