Least square-based vehicle position estimation algorithm

A vehicle position estimation algorithm base on least square optimization was prposed.Firstly,the algorithm deduced the convex constraint condition which the distance matrix had to conform within a short time interval.Then,the least square method was employed to estimate the vehicles’ relative posit...

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Main Authors: PENG Xin, LI Ren-fa, YANG Liu, LIU Liang-jiao
Format: Article
Language:zho
Published: Editorial Department of Journal on Communications 2010-01-01
Series:Tongxin xuebao
Subjects:
Online Access:http://www.joconline.com.cn/zh/article/74646129/
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author PENG Xin
LI Ren-fa
YANG Liu
LIU Liang-jiao
author_facet PENG Xin
LI Ren-fa
YANG Liu
LIU Liang-jiao
author_sort PENG Xin
collection DOAJ
description A vehicle position estimation algorithm base on least square optimization was prposed.Firstly,the algorithm deduced the convex constraint condition which the distance matrix had to conform within a short time interval.Then,the least square method was employed to estimate the vehicles’ relative position.Finally,the local maps were merged into the global map.Simulation results demonstrate that the algorithm can achieve preferable estimation accuracy,and meet the real time constraint in vehicular networks.
format Article
id doaj-art-39845fcb5e6d468a8530bf447a533632
institution Kabale University
issn 1000-436X
language zho
publishDate 2010-01-01
publisher Editorial Department of Journal on Communications
record_format Article
series Tongxin xuebao
spelling doaj-art-39845fcb5e6d468a8530bf447a5336322025-01-14T08:24:48ZzhoEditorial Department of Journal on CommunicationsTongxin xuebao1000-436X2010-01-013191574646129Least square-based vehicle position estimation algorithmPENG XinLI Ren-faYANG LiuLIU Liang-jiaoA vehicle position estimation algorithm base on least square optimization was prposed.Firstly,the algorithm deduced the convex constraint condition which the distance matrix had to conform within a short time interval.Then,the least square method was employed to estimate the vehicles’ relative position.Finally,the local maps were merged into the global map.Simulation results demonstrate that the algorithm can achieve preferable estimation accuracy,and meet the real time constraint in vehicular networks.http://www.joconline.com.cn/zh/article/74646129/vehicular networksGPSposition estimationleast square optimization
spellingShingle PENG Xin
LI Ren-fa
YANG Liu
LIU Liang-jiao
Least square-based vehicle position estimation algorithm
Tongxin xuebao
vehicular networks
GPS
position estimation
least square optimization
title Least square-based vehicle position estimation algorithm
title_full Least square-based vehicle position estimation algorithm
title_fullStr Least square-based vehicle position estimation algorithm
title_full_unstemmed Least square-based vehicle position estimation algorithm
title_short Least square-based vehicle position estimation algorithm
title_sort least square based vehicle position estimation algorithm
topic vehicular networks
GPS
position estimation
least square optimization
url http://www.joconline.com.cn/zh/article/74646129/
work_keys_str_mv AT pengxin leastsquarebasedvehiclepositionestimationalgorithm
AT lirenfa leastsquarebasedvehiclepositionestimationalgorithm
AT yangliu leastsquarebasedvehiclepositionestimationalgorithm
AT liuliangjiao leastsquarebasedvehiclepositionestimationalgorithm