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Extension of particle filters for time-varying target presence through split and raw measurements

Danaee, M. R ; Sharif University of Technology | 2013

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  1. Type of Document: Article
  2. DOI: 10.1049/iet-rsn.2011.0335
  3. Publisher: 2013
  4. Abstract:
  5. Target tracking through particle filter (PF) for time-varying presence of a target is compared for thresholded and nonthresholded measurements, where in both cases a track produces more than one measurement. To that end, thresholded split measurements PF along with non-thresholded measurements, sequential importance resampling PF (SIR PF) and auxiliary variable PF (AV PF) are extended to cope with time-varying target presence. Simulations show superiorities in working through non-thresholded measurements. Furthermore, they surprisingly demonstrate that non-thresholded measurements SIR PF leads to less root-mean-square position estimation error than non-thresholded measurements AV PF in case of uncertain target presence and unclear measurements origin besides dynamic model mismatching
  6. Keywords:
  7. Auxiliary variables ; Importance re samplings ; Particle filter ; Position estimation ; Raw measurements ; Root mean squares ; Time varying ; Distributed computer systems ; Monte Carlo methods ; Signal filtering and prediction ; Target tracking ; Measurements
  8. Source: IET Radar, Sonar and Navigation ; Volume 7, Issue 5 , 2013 , Pages 517-526 ; 17518784 (ISSN)
  9. URL: http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=6574785