典型文献
Multipath Suppressing Method Based on Pseudorange Model Using Modified Teaching-Learning Based Optimization Algorithm
文献摘要：
Satellites based positioning has been widely applied to many areas in our daily lives and thus become indispensable,which also leads to increasing 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.
文献关键词：
中图分类号：
作者姓名：
CHENG Lan;ZHANG Jing;NI Zihang;YAN Gaowei
作者机构：
Taiyuan University of Technology,Taiyuan 030024,China;Xi'an Branch of China Telecom Co.Ltd.,Xi'an 71000,China
文献出处：
引用格式：
[1]CHENG Lan;ZHANG Jing;NI Zihang;YAN Gaowei-.Multipath Suppressing Method Based on Pseudorange Model Using Modified Teaching-Learning Based Optimization Algorithm)[J].电子学报（英文）,2022(05):821-831
A类：
Pseudorange,irrelevance
B类：
Multipath,Suppressing,Method,Based,Model,Using,Modified,Teaching,Learning,Optimization,Algorithm,Satellites,positioning,has,been,widely,applied,many,areas,daily,lives,thus,become,indispensable,which,also,leads,increasing,mand,high,accuracy,In,some,complex,vironments,such,dense,urban,valley,multipath,inter,ference,one,main,error,sources,deteriorating,difficult,eliminate,via,techniques,due,its,uncertainty,occurrence,instants,To,address,this,problem,we,method,global,navigation,satellite,systems,GNSS,by,adopting,modified,teaching,learning,optimization,TLBO,after,formulated,Experiments,conducted,using,actual,data,results,show,that,proposed,outperforms,other,algorithms,particle,swarm,differential,evolution,vari,projection,terms,stability
AB值：
0.623704
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机标中图分类号，由域田数据科技根据网络公开资料自动分析生成，仅供学习研究参考。
