Telecommunications Science ›› 2020, Vol. 36 ›› Issue (1): 88-100.doi: 10.11959/j.issn.1000-0801.2020006

• Research and Development • Previous Articles     Next Articles

Wireless positioning methods for mitigating the influence of environmental and terminal diversity

Jietai WANG1,2,Youlian GUAN3,Xiaoniu YANG2,Zhenxing LUO2,Jianbiao YU4   

  1. 1 Mathematics Physics and Information Engineering College,Jiaxing University,Jiaxing 314001,China
    2 Science and Technology on Communication Information Security Control Laboratory,Jiaxing 314033,China
    3 75798bd,Shantou 515062,China
    4 Jiangxi Vocational and Technical College of Information Application,Nanchang 330043,China
  • Revised:2019-11-14 Online:2020-01-20 Published:2020-02-13
  • Supported by:
    the Natural Science Foundation of China(61572014);Natural Science Foundation of Zhejiang Province of China(LQ19A010005);Natural Science Foundation of Zhejiang Province of China(LY17F030020);Natural Science Foundation of Zhejiang Province of China(LQ15F010008);Science and Technology Program of Jiaxing City of China(2015AY11009);Science and Technology Program of Jiaxing City of China(2016AY13011)

Abstract:

Two optimization algorithms respectively were proposed according to the traditional two methods based on ranging and fingerprint-based to mitigate or circumvents the influence of environmental parameters on the position-ing results and compared traditional benchmark algorithms and recent similar work through simulation and actual scene experiments.The experimental results show the effectiveness of the algorithms:compared with the traditional benchmark algorithms,the positioning accuracy is improved by about 70%,compared with the recent similar work,the positioning accuracy is also improved by about 20%,at the same time,the change of the environmental parame-ters has little impact on the stability of the proposed algorithm.

Key words: wireless positioning, environment diveristy, fingerprint, wireless transmission model

CLC Number: 

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