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Time-of-arrival–based localization algorithm in mixed line-of-sight/non-line-of-sight environments

Author

Listed:
  • Peixin Wang
  • Youming Li
  • Shengming Chang
  • Xiaoping Jin
  • Xiaoli Wang

Abstract

A novel time-of-arrival–based localization algorithm in mixed line-of-sight/non-line-of-sight environments is proposed. First, an optimization problem of target localization in the known distribution of line-of-sight and non-line-of-sight is established, and mixed semi-definite and second-order cone programming techniques are used to transform the original problem into a convex optimization problem which can be solved efficiently. Second, a worst-case robust least squares criterion is used to form an optimization problem of target localization in unknown distribution of line-of-sight and non-line-of-sight, where all links are treated as non-line-of-sight links. This problem is also solved using the similar techniques used in the known distribution of line-of-sight and non-line-of-sight case. Finally, computer simulation results show that the proposed algorithms have better performance in both the known distribution and the unknown distribution of line-of-sight and non-line-of-sight environments.

Suggested Citation

  • Peixin Wang & Youming Li & Shengming Chang & Xiaoping Jin & Xiaoli Wang, 2020. "Time-of-arrival–based localization algorithm in mixed line-of-sight/non-line-of-sight environments," International Journal of Distributed Sensor Networks, , vol. 16(3), pages 15501477209, March.
    • Handle: RePEc:sae:intdis:v:16:y:2020:i:3:p:1550147720913808
    DOI: 10.1177/1550147720913808
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    References listed on IDEAS

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    1. Shengming Chang & Youming Li & Hui Wang & Gang Wang, 2018. "Received signal strength–based target localization under spatially correlated shadowing via convex optimization relaxation," International Journal of Distributed Sensor Networks, , vol. 14(6), pages 15501477187, June.
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