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

HAN Fengqing; XIAO Dan; GUAN Lihe

doi:10.21656/1000-0887.400191

Volume 40 Issue 11

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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

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

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

doi: 10.21656/1000-0887.400191

College of Mathematics and Statistics, Chongqing Jiaotong University, Chongqing 400074, P.R.China

Received Date: 2019-06-17
Rev Recd Date: 2019-08-23
Publish Date: 2019-11-01

Abstract

Abstract

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.
- non-line-of-sight distance,
- evolutionary game,
- virtual base station

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References(20)

References

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