Efficient importance sampling function design for sequential Monte Carlo PHD filter
In this paper, we propose a novel implementation of the probability hypothesis density (PHD) filter based on the sequential Monte Carlo (SMC) method called SMC-PHD filter. The SMC-PHD filter is analogous to the sequential importance sampling which generates samples using an importance sampling (IS)...
| Main Authors: | , , |
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| Format: | Journal Article |
| Published: |
Elsevier BV
2012
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| Online Access: | http://hdl.handle.net/20.500.11937/56383 |