User Positioning with Particle Swarm Optimization

被引：0
|
作者：
Wang, Yi [1 ]
机构：
[1] Huawei Technol Co Ltd, Shanghai, Peoples R China
来源：
2017 INTERNATIONAL CONFERENCE ON INDOOR POSITIONING AND INDOOR NAVIGATION (IPIN) | 2017年
关键词：
Positioning; location; particle swarm optimization;
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
Given a list of positioning measurements in location server, how to accurately estimate the user position is an open problem. We propose to apply particle swarm optimization (PSO) to estimate user position which can well explore the measurements including TDOA, TOA, DOA, and so on. Simulation results show that the PSO algorithms can significantly improve the positioning accuracy compared to current positioning methods.
引用
收藏
页数：5
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