首页|Multipath Suppressing Method Based on Pseudorange Model Using Modified Teaching-Learning Based Optimization Algorithm
Multipath Suppressing Method Based on Pseudorange Model Using Modified Teaching-Learning Based Optimization Algorithm
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Satellites based positioning has been widely applied to many areas in our daily lives and thus become indispensable,which also leads to increasing de-mand for high-positioning accuracy.In some complex en-vironments(such as dense urban,valley),multipath inter-ference is one of the main error sources deteriorating posi-tioning accuracy,and it is difficult to eliminate via differ-ential 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 teaching-learning 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 posi-tioning algorithm outperforms other algorithms,such as particle swarm optimization based positioning algorithm,differential evolution based positioning algorithm,vari-able projection method,and TLBO algorithm,in terms of accuracy and stability.
Global navigation satellite systems(GNSS)positioningMultipath errorModified teaching-learning based optimization(TLBO)algorithm.
CHENG Lan、ZHANG Jing、NI Zihang、YAN Gaowei
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Taiyuan University of Technology,Taiyuan 030024,China
Xi'an Branch of China Telecom Co.Ltd.,Xi'an 71000,China
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