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xdgangwang金虫 (小有名气)
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[求助]
麻烦各位虫友帮我查一下是否被SCI检索了
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如题，今年2月份发出的文章，看看是否被检索了。 A Semidefinite Relaxation Method for Source Localization Using TDOA and FDOA Measurements 谢谢 |
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xiebb
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【答案】应助回帖
感谢参与，应助指数 +1
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标题: A semidefinite relaxation method for source localization using TDOA and FDOA measurements 作者: Gang Wang; Youming Li; Ansari, N. 来源出版物: IEEE Transactions on Vehicular Technology 卷: 62 期: 2 页: 853-62 DOI: 10.1109/TVT.2012.2225074 出版年: Feb. 2013 被引频次: 0 (来自所有数据库) [ 查看摘要 ] |
2楼2013-05-09 10:52:29
xdgangwang
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3楼2013-05-09 11:02:04
xdgangwang
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4楼2013-05-09 11:04:53
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5楼2013-05-09 11:06:59
xdgangwang
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6楼2013-05-09 11:16:03
nuaawq
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【答案】应助回帖
感谢参与，应助指数 +1
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A semidefinite relaxation method for source localization using TDOA and FDOA measurements Author(s): Gang Wang; Youming Li; Ansari, N. Source: IEEE Transactions on Vehicular Technology Volume: 62 Issue: 2 Pages: 853-62 Published: Feb. 2013 DOI: 10.1109/TVT.2012.2225074 Abstract: Localization by a sensor network has been extensively studied. In this paper, we address the source localization problem by using time-difference-of-arrival (TDOA) and frequency-difference-of-arrival (FDOA) measurements. Owing to the nonconvex nature of the maximum-likelihood (ML) estimation problem, it is difficult to obtain its globally optimal solution without a good initial estimate. Thus, we reformulate the localization problem as a weighted least squares (WLS) problem and perform semidefinite relaxation (SDR) to obtain a convex semidefinite programming (SDP) problem. Although SDP is a relaxation of the original WLS problem, it facilitates accurate estimate without postprocessing. Moreover, this method is extended to solve the localization problem when there are errors in sensor positions and velocities. Simulation results show that the proposed method achieves a significant performance improvement over existing methods. Accession Number: 13307166 Document Type: Journal Paper Language: English Treatment: Practical, Theoretical or Mathematical Controlled Indexing: convex programming; direction-of-arrival estimation; maximum likelihood estimation; relaxation theory; wireless sensor networks Uncontrolled Indexing: semidefinite relaxation method; source localization; TDOA measurement; FDOA measurement; sensor network; time-difference-of-arrival measurement; frequency-difference-of-arrival measurement; maximum-likelihood estimation problem; weighted least squares problem; convex semidefinite programming problem Classification Codes: B6250K Wireless sensor networks; B6140 Signal processing and detection; B0290Z Other numerical methods; B0260 Optimisation techniques; B0240Z Other topics in statistics International Patent Classification: H04B7/00 Radio transmission systems, i.e. using radiation field; H04W Wireless communication networks Author Address: Gang Wang; Youming Li; Coll. of Inf. Sci. & Eng., Ningbo Univ., Ningbo, China. Ansari, N.; Dept. of Electr. & Comput. Eng., New Jersey Inst. of Technol., Newark, NJ, USA. Publisher: IEEE, USA Research Areas: Telecommunications; Communication; Mathematics (provided by Thomson Reuters) Number of References: 34 CODEN: ITVTAB ISSN: 0018-9545 U.S. Copyright Clearance Center Code: 0018-9545/$31.00 |
7楼2013-05-09 13:44:21
xdgangwang
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8楼2013-05-09 13:48:46
nuaawq
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9楼2013-05-09 14:08:11
xdgangwang
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10楼2013-05-09 15:13:17