Conference item
The unscented particle filter
- Abstract:
-
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 information and, secondly, it can have heavy tails. As a result, we find that the algorithm outperforms standard particle filtering and other nonlinear filtering methods very substantially. This experimental fin...
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Bibliographic Details
- Publisher:
- Neural information processing systems foundation
- Host title:
- Advances in Neural Information Processing Systems
- Publication date:
- 2001-01-01
- ISSN:
-
1049-5258
- Source identifiers:
-
464333
- ISBN-10:
- 0262122413
- ISBN-13:
- 9780262122412
Item Description
- Pubs id:
-
pubs:464333
- UUID:
-
uuid:a78bd23c-b83c-40b1-adb3-aab6aa479ee9
- Local pid:
- pubs:464333
- Deposit date:
- 2014-10-16
Terms of use
- Copyright date:
- 2001
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