Skip to main navigation Skip to search Skip to main content

An efficient fixed-point implementation of residual resampling scheme for high-speed particle filters

  • Stony Brook University

Research output: Contribution to journalLetterpeer-review

47 Scopus citations

Abstract

A novel low-complexity residual resampling scheme for particle filters is presented. The proposed scheme uses a simple but effective "particle-tagging" method to compensate for a possible error that can be caused by finite-precision quantization in the resampling step of particle filtering. The scheme guarantees that the number of particles after resampling is always equal to the number of particles before resampling. The resulting scheme is suitable for high-speed physical realization when the number of particles is a power of two.

Original languageEnglish
Pages (from-to)482-485
Number of pages4
JournalIEEE Signal Processing Letters
Volume11
Issue number5
DOIs
StatePublished - May 2004

Keywords

  • Fixed-point processing
  • Particle filters
  • Resampling
  • Residual resampling

Fingerprint

Dive into the research topics of 'An efficient fixed-point implementation of residual resampling scheme for high-speed particle filters'. Together they form a unique fingerprint.

Cite this