The amalgamated particle filter algorithm based on the bayes theory and used to control navigation's system interferers

Henghao Zhang*, Xiuyun Meng, Zaozhen Liu

*Corresponding author for this work

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

Abstract

It introduces the algorithm of particle filter and the Bayes theory. The way is improved necessarily in the navigation system and then used in it. When one channel in the system is interfered and can't work, using the changing particle's weight factors which stand for the emanative channel in the system can control the interferer. The simulation shows the particle filter algorithm can through other channels control the interferer which occurs in the one channel. So the system also can work naturally.

Original languageEnglish
Title of host publicationAdvanced Materials and Engineering Materials
Pages1508-1513
Number of pages6
DOIs
Publication statusPublished - 2012
Event2011 International Conference on Advanced Materials and Engineering Materials, ICAMEM2011 - Shenyang, Liaoning, China
Duration: 22 Nov 201124 Nov 2011

Publication series

NameAdvanced Materials Research
Volume457-458
ISSN (Print)1022-6680

Conference

Conference2011 International Conference on Advanced Materials and Engineering Materials, ICAMEM2011
Country/TerritoryChina
CityShenyang, Liaoning
Period22/11/1124/11/11

Keywords

  • Disappearance of retrogressive phenomenon
  • Log-likelihood radio analysis
  • Particle filter
  • The bayes theory
  • Weight value

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