The unscented particle filter
In this paper, we propose a new particle filter based on sequential importance sampling. The algorithm uses a bank of unscented filters to obtain the importance proposal distribution. This proposal has two very "nice" properties. Firstly, it makes efficient use of the latest available info...
| Главные авторы: | , , , |
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| Формат: | Conference item |
| Опубликовано: |
Neural information processing systems foundation
2001
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