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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Format: | Article |
Language: | zho |
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Editorial Department of Journal on Communications
2010-01-01
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Series: | Tongxin xuebao |
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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 |