A Kind of Localization Algorithm Based on Driver Test Data

  • Jian Shi
  • Jianfeng Huang
  • Kaihua Liu
Conference paper
Part of the Lecture Notes in Electrical Engineering book series (LNEE, volume 246)


In this paper, we analyze several existing problems in the cellular radio network performance comparative analyses due to information barrier inter mobile operators. We propose an improved LEE propagation model to get more accurate prediction by collecting the massive driver test data for the correction factors’ scientific computing within fine-granularity testing area. The new sliding aggregation window and the geometric Barycenter algorithms proposed in this paper are used to locate the base stations of competitor’s networks more accurately.


Propagation model Sliding aggregation window Base station locating Base station analysis 


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    Lee DJY, Lee WCY (2000) Fine Tune Lee Model. J Personal Indoor Mobile Radio CommunicationsGoogle Scholar
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    Lee CY (1997) Mobile communication engineering: theory and applications, 2nd edn. McGraw-Hill Professional, New York, USAGoogle Scholar
  3. 3.
    3GPP Technical Specification 25.301, Radio Interface Protocol Architecture 3GPP Technical SpecificationGoogle Scholar

Copyright information

© Springer International Publishing Switzerland 2014

Authors and Affiliations

  1. 1.Tianjin UniversityTianjinChina
  2. 2.Beijing University of Posts and TelecommunicationsBeijingChina

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