Channel aware target tracking in multi-hop wireless sensor networks

Xiaojun Yang, Ruixin Niu, Engin Masazade, Pramod K. Varshney

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Scopus citations

Abstract

A channel aware particle filtering approach is proposed for target tracking in multi-hop wireless sensor networks. The quantized M-bit data are relayed through multi-hop fading channels in order to reach a fusion center. Each relay node employs a binary decision relay scheme where the relay output is inferred from the channel impaired observation received from its source node. The observation likelihood function is derived based on the characteristic of the channel fading and noise. For two cases where the fusion center has the knowledge of the instantaneous fading channel gains and where it has only the knowledge of fading channel statistics, we propose the channel aware particle filtering for target tracking. The improved tracking accuracy and robustness to channel imperfection of the proposed filter is shown through computer simulations.

Original languageEnglish (US)
Title of host publicationFusion 2011 - 14th International Conference on Information Fusion
StatePublished - Sep 13 2011
Event14th International Conference on Information Fusion, Fusion 2011 - Chicago, IL, United States
Duration: Jul 5 2011Jul 8 2011

Publication series

NameFusion 2011 - 14th International Conference on Information Fusion

Other

Other14th International Conference on Information Fusion, Fusion 2011
CountryUnited States
CityChicago, IL
Period7/5/117/8/11

Keywords

  • Particle filtering
  • Target tracking
  • Wireless communication channel
  • Wireless sensor networks

ASJC Scopus subject areas

  • Information Systems

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  • Cite this

    Yang, X., Niu, R., Masazade, E., & Varshney, P. K. (2011). Channel aware target tracking in multi-hop wireless sensor networks. In Fusion 2011 - 14th International Conference on Information Fusion [5977570] (Fusion 2011 - 14th International Conference on Information Fusion).