Particle swarm optimization-based particle filter for cooperative localization in wireless networks

Bin LI, Nan WU*, Hua WANG, Desheng SHI, Weijie YUAN, Jingming KUANG

*Corresponding author for this work

Research output: Book Chapters | Papers in Conference ProceedingsConference paper (refereed)Researchpeer-review

7 Citations (Scopus)

Abstract

We propose a novel cooperative localization algorithm called PSO-PF algorithm based on particle swarm optimization enhanced particle filter that fuses information from both anchors with known positions and agents with unknown positions in wireless networks. The proposed algorithm for localization is fully distributed and can eliminate the loss of diversity caused by resampling in particle filter. Simulation results show that the proposed algorithm outperforms the particle filter on the accuracy with less particles in the challenged scenarios for cooperative localization. Moreover, the proposed algorithm is superior performance on convergence to the particle filter in cooperative localization.

Original languageEnglish
Title of host publication2013 International Conference on Wireless Communications and Signal Processing, WCSP 2013
PublisherIEEE
ISBN (Electronic)9781479903085
DOIs
Publication statusPublished - 2013
Externally publishedYes
Event2013 International Conference on Wireless Communications and Signal Processing, WCSP 2013 - Hangzhou, China
Duration: 24 Oct 201326 Oct 2013

Conference

Conference2013 International Conference on Wireless Communications and Signal Processing, WCSP 2013
Country/TerritoryChina
CityHangzhou
Period24/10/1326/10/13

Keywords

  • Cooperative localization
  • particle filter
  • particle swarm optimization
  • Wireless networks

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