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文章基本信息

  • 标题:Research on Localization Algorithm Based on Improved Bayesian Filtering Model
  • 本地全文:下载
  • 作者:Zeyu Sun ; Xiaoguang Li
  • 期刊名称:International Journal of Hybrid Information Technology
  • 印刷版ISSN:1738-9968
  • 出版年度:2015
  • 卷号:8
  • 期号:8
  • 页码:1-12
  • DOI:10.14257/ijhit.2015.8.8.01
  • 出版社:SERSC
  • 摘要:Due to the complexity of the algorithm own limitations and environmental parameters, makes for complex work in the process of localization is bigger, computational complexity, a larger error. In order to ensure the reliability and effectiveness of communication data, ensure that improve the localization accuracy, the proposed multi-channel data transmission mechanism, to realize the collection of real-time data information effectively. Based on the traditional localization algorithm principle and error source is analyzed, combined with Bayesian filtering probability model for RSSI localization algorithm was improved, the received signal strength indicator effectively restrain random fluctuations. Through to the node coordinates between areas corrections, make the final balance of signal strength. Experiments show that improved the reliability of the improved algorithm has higher localization accuracy, and shows the validity and the correctness of the algorithm.
  • 关键词:Localization Algorithm; Bayesian filtering model; associated target; sensor ; nodes
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