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- Title
Adaptive iterated particle filter.
- Authors
Zuo, J.‐Y.; Jia, Y.‐N.; Zhang, Y.‐Z.; Lian, W.
- Abstract
The adaptive iterated particle filter (AIPF) is presented, where the importance density function is updated iteratively by the particle filter itself when necessary. By using a simulated annealing algorithm with an adaptive annealing parameter, the current measurement can be quickly incorporated into the sampling process, resulting in greatly improved sampling efficiency. Simulation results demonstrate the improved performance of the AIPF over the sampling importance resampling filter, unscented Kalman particle filter and auxiliary particle filter.
- Publication
Electronics Letters (Wiley-Blackwell), 2013, Vol 49, Issue 12, p742
- ISSN
0013-5194
- Publication type
Article
- DOI
10.1049/el.2012.4506