Journal on Communications ›› 2015, Vol. 36 ›› Issue (8): 68-75.doi: 10.11959/j.issn.1000-436x.2015114

• Academic paper • Previous Articles     Next Articles

Three-dimensional localization under severely obstructed NLOS environment

Zhu XIAO,Jie CHEN,Dong WANG,Xiao-hong LI,Ren-fa LI   

  1. College of Computer Science and Electronics Engineering,Hunan University,Changsha 410082,China
  • Online:2015-08-25 Published:2015-08-25
  • Supported by:
    The National Natural Science Foundations of China;The National Natural Science Foundations of China;The Ph.D Programs Foundation of Ministr Education of China;The Ph.D Programs Foundation of Ministr Education of China;The Natural Science Foundation of Hunan Province;The Natural Science Foundation of Hunan Province;The Fundamental Research Funds for the Central Universities of China;The Fundamental Research Funds for the Central Universities of China;The Young Lecturer’s Growth Project in Hunan Universities of China

Abstract:

In the severely obstructed NLOS(non-line-of-sight)environment,obstacles between the UN(unknown node)and RS(reference station)made the DP(direct path)undetectable.It greatly restricted the application of wireless localization method.A three-dimensional localization scheme,which utilized the distance and orientation information of single-bounce signal,was proposed to evade the DP blocking effect in three-dimensional NLOS environment.Within the proposed localization scheme,three-dimensional spatial location relationship among the RS,UN and scatterers was proven.Anoptimization algorithm based on least mean square was proposed and the mathematical solution to the position relationship was derived.Furthermore,the performance of algorithm is studied by using RMSE(root mean-square error)analysis.Through Monte-Carlo simulations,how distance and orientation deviation of three-dimensional localization frame affect performance of algorithms is examined.It is also demonstrated that the analytical results closely match the simulations,which verifies the effectiveness of the proposed three-dimensional NLOS localization algorithm.

Key words: non-line-of-sight, obstructed environment, three-dimensional localization, spatial location optimization

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