[1]赵洪蕾.TDOA/AOA数据融合算法在铁路场景下的定位应用[J].计算机技术与发展,2013,(04):75-78.
ZHAO Hong-lei.Location Application of TDOA/AOA Data Fusion Algorithm in Railway Scenario[J].,2013,(04):75-78.
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TDOA/AOA数据融合算法在铁路场景下的定位应用(
)
《计算机技术与发展》[ISSN:1006-6977/CN:61-1281/TN]
- 卷:
-
- 期数:
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2013年04期
- 页码:
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75-78
- 栏目:
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智能、算法、系统工程
- 出版日期:
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1900-01-01
文章信息/Info
- Title:
-
Location Application of TDOA/AOA Data Fusion Algorithm in Railway Scenario
- 文章编号:
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1673-629X（2013）04-0075-04
- 作者:
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赵洪蕾
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北京交通大学 轨道交通控制与安全国家重点实验室
- Author(s):
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ZHAO Hong-lei
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-
- 关键词:
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铁路场景; TDOA; AOA; 数据融合; 定位
- Keywords:
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railway scenario; time difference of arrival; angle of arrival; data fusion; location
- 文献标志码:
-
A
- 摘要:
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在铁路场景下,基于通信的无线网络定位技术中的定位误差主要来自系统测量误差,且参与定位的基站数目有限.文中结合TDOA算法和AOA算法中系统测量误差在定位误差中影响的互异特性,并利用铁轨路径方程,采用TDOA/AOA数据融合算法,有效地减小了系统测量误差带来的定位影响,提高了定位精度.在仿真实验中,用定位均方根误差作为评价指标,对TDOA算法、AOA算法和TDOA/AOA数据融合算法分别在不同条件下进行仿真分析.结果表明,在铁路场景下,本算法的定位均方根误差要小于TDOA算法和AOA算法,即该数据融合算法具有更好的定位性能
- Abstract:
-
In the railway scenario,based on wireless network location technology,the systematic measurement error leads to the location error,and the number of base stations which can locate is limited. In this paper,a TDOA/AOA data fusion algorithm is proposed,which can effectively reduce the location error and improve the accuracy. In this algorithm,TDOA algorithm,AOA algorithm,and the path equa-tion are combined. In the simulation experiment,compared with TDOA algorithm and AOA algorithm,TDOA/AOA data fusion algorithm has the smaller location root-mean-square error under different simulation conditions. Result shows this algorithm has better location per-formance
更新日期/Last Update:
1900-01-01