• ISSN 0258-2724
  • CN 51-1277/U
  • EI Compendex
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Volume 56 Issue 3
Jun.  2021
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Article Contents
DENG Ping, XIE Xue. An NLOS Environment Location Algorithm Based on Geometric Constraint and Iteration[J]. Journal of Southwest Jiaotong University, 2021, 56(3): 666-672. doi: 10.3969/j.issn.0258-2724.20200094
Citation: DENG Ping, XIE Xue. An NLOS Environment Location Algorithm Based on Geometric Constraint and Iteration[J]. Journal of Southwest Jiaotong University, 2021, 56(3): 666-672. doi: 10.3969/j.issn.0258-2724.20200094

An NLOS Environment Location Algorithm Based on Geometric Constraint and Iteration

doi: 10.3969/j.issn.0258-2724.20200094
  • Received Date: 13 Mar 2020
  • Rev Recd Date: 16 Jun 2020
  • Available Online: 25 Aug 2020
  • Publish Date: 15 Jun 2021
  • In non-line-of-sight (NLOS) environments, the traditional optimal localization algorithm is weak against NLOS errors and needs an accurate initial position value to guarantee the algorithm converge. To deal with this, a positioning algorithm based on geometric constraint and iteration in a scenario of two base station (BS) is proposed. By introducing the maximum scattering radius as the geometric constraint condition, the linear iterative method is used to perform a one-dimensional global search, and the initial estimation positions of mobile station (MS) are obtained by the least squares (LS) algorithm. Then the initial MS estimation positions are filtered by a distance threshold value, and finally its final position is obtained by weighted average. Simulation results show that when the scattering radius is 200 m, the probability of location error under 200 m can reach 100%, and in the same environment, the calculation time of this algorithm is only 0.4% of the grid search algorithm.

     

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