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

Forskningsoutput: Kapitel i bok/rapport/Conference proceedingKonferenspaper i proceeding

Abstract

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.

Detaljer

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Forskningsområden

Ämnesklassifikation (UKÄ) – OBLIGATORISK

  • Reglerteknik
Originalspråkengelska
Titel på värdpublikation15th International Conference on Information Fusion (FUSION), 2012
FörlagIEEE - Institute of Electrical and Electronics Engineers Inc.
Sidor471-478
ISBN (tryckt)978-1-4673-0417-7
StatusPublished - 2012
PublikationskategoriForskning
Peer review utfördJa
Evenemang15th International Conference on Information Fusion - Singapore, Singapore
Varaktighet: 2012 jul 9 → …

Konferens

Konferens15th International Conference on Information Fusion
LandSingapore
Period2012/07/09 → …

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