Düzenlileştirilmiş deǧişken oranli parçacik süzgeçleri ile hedef takibi

Translated title of the contribution: Target tracking with regularized variable rate particle filters

Yener Ülker*, Bilge Günsel

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Recently introduced variable rate particle filters (VRPF), utilizing semi-Markov models for maneuvering target tracking obtained superior performance compared to the standard Markov models [1]. However, degeneracy problem commonly encountered in particle filtering also arises in VRPF algorithm. In this work, regularization technique used in standard particle filtering [2] is integrated to VRPF modelling and regularized variable rate particle filters (R-VRPF) are introduced as a solution to degeneracy problem. Performance of proposed R-VRPF algorithm is investigated in a bearing only target tracking problem and it is shown that RMS position error is reduced due to the better approximation to the posterior distribution representing target position.

Translated title of the contributionTarget tracking with regularized variable rate particle filters
Original languageTurkish
Title of host publication2008 IEEE 16th Signal Processing, Communication and Applications Conference, SIU
DOIs
Publication statusPublished - 2008
Event2008 IEEE 16th Signal Processing, Communication and Applications Conference, SIU - Aydin, Turkey
Duration: 20 Apr 200822 Apr 2008

Publication series

Name2008 IEEE 16th Signal Processing, Communication and Applications Conference, SIU

Conference

Conference2008 IEEE 16th Signal Processing, Communication and Applications Conference, SIU
Country/TerritoryTurkey
CityAydin
Period20/04/0822/04/08

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