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baroshi木虫 (正式写手)
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An asynchronous sensor bias estimation algorithm utilizing targets’ positions only 发自小木虫Android客户端 |
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baroshi: 金币+5, ★★★★★最佳答案 2015-10-23 15:37:20
lazy锦溪: LS-EPI+1, 感谢应助！ 2015-10-23 15:52:01
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baroshi: 金币+5, ★★★★★最佳答案 2015-10-23 15:37:20
lazy锦溪: LS-EPI+1, 感谢应助！ 2015-10-23 15:52:01
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SCI检索 An asynchronous sensor bias estimation algorithm utilizing targets' positions only 作者:Yong, XJ (Yong, Xiaoju)[ 1 ] ; Fang, YW (Fang, Yangwang)[ 1 ] ; Wu, YL (Wu, Youli)[ 1 ] ; Yang, PF (Yang, Pengfei)[ 1 ] INFORMATION FUSION 卷: 27 页: 54-63 DOI: 10.1016/j.inffus.2015.05.003 出版年: JAN 2016 查看期刊信息 摘要 Bias estimation is a critical problem in multi-sensor tracking systems, and most existing research has focused on the bias estimation of synchronous sensors; however, in practical applications, sensor measurements are usually asynchronous. The primary contribution of this paper is that a novel algorithm using B-spline interpolation time registration to achieve asynchronous sensor bias estimation is proposed. First, measurements are transformed into synchronous data using the B-spline interpolation time registration method. The time registration results are expressed as weighted results of the measurements. Second, a pseudo measurement equation is created based on the synchronous data. Compared with the pseudo measurements of other algorithms that use weighting coefficients, which are calculated by the target's state, including the target's velocity and time of arrival (TOA), a pseudo measurement that only depends on the target's position can be derived. Thus, the problem of asynchronous sensor bias estimation, particularly with manoeuvring targets, can be solved effectively by the proposed algorithm. Finally, the effectiveness of the proposed algorithm is verified by simulations with the target performing s-shaped manoeuvres. Monte Carlo simulation results indicate that the Cramer-Rao lower bound (CRLB) is achievable; thus, the proposed algorithm is statistically efficient. (C) 2015 Elsevier B.V. All rights reserved. 关键词 作者关键词:Bias estimation; Data fusion; Manoeuvring targets; Spatial registration; Asynchronous sensors KeyWords Plus:MULTISENSOR; FUSION 作者信息 通讯作者地址: Yong, XJ (通讯作者) Air Force Engn Univ, Sch Aeronaut & Astronaut Engn, Xian 710038, Shanxi, Peoples R China. 地址: [ 1 ] Air Force Engn Univ, Sch Aeronaut & Astronaut Engn, Xian 710038, Shanxi, Peoples R China 电子邮件地址:yongxiaoju1987@126.com; ywfang2008@sohu.com; ylwu@126.com; pfyang@126.com 出版商 ELSEVIER SCIENCE BV, PO BOX 211, 1000 AE AMSTERDAM, NETHERLANDS 类别 / 分类 研究方向:Computer Science Web of Science 类别:Computer Science, Artificial Intelligence; Computer Science, Theory & Methods 文献信息 文献类型:Article 语种:English 入藏号: WOS:000362145000005 ISSN: 1566-2535 eISSN: 1872-6305 期刊信息 Impact Factor (影响因子): Journal Citation Reports® 其他信息 IDS 号: CS5UY Web of Science 核心合集中的 "引用的参考文献": 19 Web of Science 核心合集中的 "被引频次": 0 |
2楼2015-10-23 15:33:03