HAN Fengqing, XIAO Dan, GUAN Lihe. A New Method for 3D TOA-Geolocation in Non-Line-of-Sight Environment[J]. Applied Mathematics and Mechanics, 2019, 40(11): 1259-1269. doi: 10.21656/1000-0887.400191
Citation: HAN Fengqing, XIAO Dan, GUAN Lihe. A New Method for 3D TOA-Geolocation in Non-Line-of-Sight Environment[J]. Applied Mathematics and Mechanics, 2019, 40(11): 1259-1269. doi: 10.21656/1000-0887.400191

A New Method for 3D TOA-Geolocation in Non-Line-of-Sight Environment

doi: 10.21656/1000-0887.400191
  • Received Date: 2019-06-17
  • Rev Recd Date: 2019-08-23
  • Publish Date: 2019-11-01
  • The evolutionary game was introduced to reduce errors caused by the non-line-of-sight environment in 3D TOA-geolocation problems. A general dynamic replication model was established for the 3D TOA-geolocation problem in the non-line-of-sight environment. With each measuring base station as a player in this game, a TOA-geolocation algorithm based on the evolutionary game was proposed. The non-line-of-sight error was effectively reduced through iteration and the position of the mobile terminal was obtained finally. On the basis of the TOA-geolocation game algorithm, another 3D locating algorithm by means of the virtual base station and the virtual measuring data was designed for base stations with uneven position distribution. The experimental results show that, the TOA-geolocation algorithm based on the evolutionary game is slightly better than the classical algorithms. The 3D locating algorithm based on the virtual base station is more effective when the position distribution of the base station is obviously uneven.
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