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Storage Efficient Particle Filters with Multiple Out-of-Sequence Measurements

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Author

Summary, in English

A particle filter based solution to the out-of-sequence measurement (OOSM) problem is proposed. The solution is storage efficient, while being computationally fast. The filter approaches the multi-OOSM problem by not only updating the estimate at the most recent time, but also for all times between the OOSM time and the most recent time. This is done by exploiting the complete in-sequence information approach and extending it to nonlinear systems. Simulation experiments on a challenging nonlinear tracking scenario show that the new approach outperforms recent state-of-the-art particle filter algorithms in some respects, despite demanding less storage requirements.

Publishing year

2012

Language

English

Pages

471-478

Publication/Series

15th International Conference on Information Fusion (FUSION), 2012

Document type

Conference paper

Publisher

IEEE - Institute of Electrical and Electronics Engineers Inc.

Topic

  • Control Engineering

Conference name

15th International Conference on Information Fusion

Conference date

2012-07-09

Conference place

Singapore

Status

Published

Project

  • ENGROSS

Research group

  • LCCC

ISBN/ISSN/Other

  • ISBN: 978-1-4673-0417-7