| 查看: 355 | 回复: 1 | |||
| 本帖产生 1 个 ，点击这里进行查看 | |||
baroshi木虫 (正式写手)
|
[求助]
帮忙查一下这篇文章的检索情况
|
||
|
An asynchronous sensor bias estimation algorithm utilizing targets’ positions only 发自小木虫Android客户端 |
回复此楼» 猜你喜欢
有多少人是今天查系统知道结果的？
已经有16人回复
-
系统查不到
已经有10人回复
-
基金不中，共勉
已经有3人回复
-
怎么查啊
已经有5人回复
-
范进中举一文的中心思想
已经有10人回复
-
我不理解！
已经有13人回复
-
2026年的国家社科基金项目通讯评审的新规则与新动向、新挑战
已经有9人回复
-
2026国自然函评费到账
已经有25人回复
-
2026年8月25日国自然放榜前突然收到列入评审专家邮件，有关系吗？
已经有28人回复
-
能否退出参与的面上项目解除限项
已经有26人回复
阿呆呆呆
铁杆木虫 (知名作家)
囧囧虫
- 应助: 23 (小学生)
- 贵宾: 1.851
- 金币: 9284.6
- 散金: 76507
- 红花: 229
- 沙发: 171
- 帖子: 5941
- 在线: 2693.6小时
- 虫号: 2147790
- 注册: 2012-11-25
- 性别: GG
- 专业: 中药质量评价
【答案】应助回帖
★ ★ ★ ★ ★
感谢参与，应助指数 +1
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
感谢参与，应助指数 +1
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
|
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
