Mobile sensor for target tracking via modified particle filter

Luke K. Wang, Shan Chin Hsieh, Kou-Yuan Huang, Wen Cheng Chen

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

Abstract

In this paper, we focus on using the sensor network to track a moving target. We estimate the trajectories of moving targets by collecting the information from sensors measurements, and assume that sensors can be randomly moving within a limited radius r. Also assuming each sensor is able to calculate/obtain the distance between itself and the moving target. Here we introduce the modified particle filter (MPF) algorithm. MPF means PF with varying particle numbers. For a nominal PF algorithm, particle number is fixed and we define the nominal one to be the so called fixed particle filter (FPF). Simulations show MPF sustains a smaller estimation error and at the same time substantially reduce the computational load.

Original languageEnglish
Title of host publicationIIH-MSP 2009 - 2009 5th International Conference on Intelligent Information Hiding and Multimedia Signal Processing
Pages190-193
Number of pages4
DOIs
StatePublished - 1 Dec 2009
EventIIH-MSP 2009 - 2009 5th International Conference on Intelligent Information Hiding and Multimedia Signal Processing - Kyoto, Japan
Duration: 12 Sep 200914 Sep 2009

Publication series

NameIIH-MSP 2009 - 2009 5th International Conference on Intelligent Information Hiding and Multimedia Signal Processing

Conference

ConferenceIIH-MSP 2009 - 2009 5th International Conference on Intelligent Information Hiding and Multimedia Signal Processing
CountryJapan
CityKyoto
Period12/09/0914/09/09

Keywords

  • Mobile sensor
  • Modified particle filter
  • Sensor network

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