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Volume 40 Issue 10
Sep.  2018
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Zengshan TIAN, Yueyue SHU, Mu ZHOU, Yong LI, Ze LI. Single Base Station Localization Algorithm Based on B-LM Ring of Scattering Model Using NLOS Information[J]. Journal of Electronics & Information Technology, 2018, 40(10): 2316-2322. doi: 10.11999/JEIT171222
Citation: Zengshan TIAN, Yueyue SHU, Mu ZHOU, Yong LI, Ze LI. Single Base Station Localization Algorithm Based on B-LM Ring of Scattering Model Using NLOS Information[J]. Journal of Electronics & Information Technology, 2018, 40(10): 2316-2322. doi: 10.11999/JEIT171222

Single Base Station Localization Algorithm Based on B-LM Ring of Scattering Model Using NLOS Information

doi: 10.11999/JEIT171222
Funds:  The National Natural Science Foundation of China (61771083, 61704015), The Program for Changjiang Scholars and Innovative Research Team in University (IRT1299), The Fundamental Science and Frontier Technology Research Project of Chongqing (cstc2017jcyjAX0380, cstc2015jcyjBX0065), The University Outstanding Achievement Transformation Project of Chongqing (KJZH17117)
  • Received Date: 2017-12-22
  • Rev Recd Date: 2018-06-11
  • Available Online: 2018-07-30
  • Publish Date: 2018-10-01
  • Considering the requirements of time and data synchronization in multi-BS (Base Station) positioning in the current outdoor cellular network and the problem of signals’ detectability in area without service BS due to NLOS (Non-Line-Of-Sight) environment, a single base station localization algorithm based on B-LM (Broyden Fletcher Goldfarb Shanno-Levenberg Marquard) ring of scattering model using NLOS information is proposed. Firstly, the localization objective equation is constructed according to the geometric positions of the scatterers, the target, the base station and the NLOS multipath information. Then, the localization equation is transformed into the least square optimization problem. Finally, the B-LM algorithm based on Hessian matrix modification methodology in LM algorithm and the construction of second order partial derivative in quasi-Newton algorithm is proposed, which ensures the localization algorithm converges to the optimal solutions to obtain the target’s location. The simulation results show that the proposed single base station localization algorithm can achieve a high positioning accuracy in the NLOS environment for macrocell.
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