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作 者:CHENG Lan ZHANG Jing NI Zihang YAN Gaowei
机构地区:[1]Taiyuan University of Technology,Taiyuan 030024,China [2]Xi’an Branch of China Telecom Co.Ltd.,Xi’an 71000,China
出 处:《Chinese Journal of Electronics》2022年第5期821-831,共11页电子学报(英文版)
基 金:supported by the National Natural Science Foundation of China(62073232,61973226).
摘 要:Satellites based positioning has been widely applied to many areas in our daily lives and thus become indispensable,which also leads to increasing demand for high-positioning accuracy.In some complex environments(such as dense urban,valley),multipath interference is one of the main error sources deteriorating positioning accuracy,and it is difficult to eliminate via differential techniques due to its uncertainty of occurrence and irrelevance in different instants.To address this problem,we propose a positioning method for global navigation satellite systems(GNSS)by adopting a modified teachinglearning based optimization(TLBO)algorithm after the positioning problem is formulated as an optimization problem.Experiments are conducted by using actual satellite data.The results show that the proposed positioning algorithm outperforms other algorithms,such as particle swarm optimization based positioning algorithm,differential evolution based positioning algorithm,variable projection method,and TLBO algorithm,in terms of accuracy and stability.
关 键 词:Global navigation satellite systems(GNSS)positioning Multipath error Modified teachinglearning based optimization(TLBO)algorithm.
分 类 号:TN967.1[电子电信—信号与信息处理] TP18[电子电信—信息与通信工程]
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