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xdgangwang金蟲 (小有名氣)
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[求助]
麻煩各位蟲友幫我查一下是否被SCI檢索了
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如題，今年2月份發(fā)出的文章，看看是否被檢索了。 A Semidefinite Relaxation Method for Source Localization Using TDOA and FDOA Measurements 謝謝 |
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標(biāo)題: A semidefinite relaxation method for source localization using TDOA and FDOA measurements 作者: Gang Wang; Youming Li; Ansari, N. 來源出版物: IEEE Transactions on Vehicular Technology 卷: 62 期: 2 頁: 853-62 DOI: 10.1109/TVT.2012.2225074 出版年: Feb. 2013 被引頻次: 0 (來自所有數(shù)據(jù)庫) [ 查看摘要 ] |
2樓2013-05-09 10:52:29
xdgangwang
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3樓2013-05-09 11:02:04
xdgangwang
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4樓2013-05-09 11:04:53
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5樓2013-05-09 11:06:59
xdgangwang
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6樓2013-05-09 11:16:03
nuaawq
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感謝參與，應(yīng)助指數(shù) +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樓2013-05-09 13:44:21
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8樓2013-05-09 13:48:46
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9樓2013-05-09 14:08:11
xdgangwang
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10樓2013-05-09 15:13:17
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