Item type |
学術雑誌論文 / Journal Article(1) |
公開日 |
2017-12-14 |
タイトル |
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タイトル |
A Low Computational Complexity SML Estimation Algorithm of DOA for Wireless Sensor Networks |
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言語 |
en |
言語 |
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言語 |
eng |
資源タイプ |
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資源 |
http://purl.org/coar/resource_type/c_6501 |
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タイプ |
journal article |
アクセス権 |
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アクセス権URI |
open access |
著者 |
Gong, Faming
Chen, Haihua
Li, Shibao
Liu, Jianhang
Gu, Zhaozhi
Suzuki, Masakiyo
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著者別名 |
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識別子Scheme |
WEKO |
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識別子 |
89671 |
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識別子Scheme |
KAKEN - 研究者検索 |
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識別子URI |
https://nrid.nii.ac.jp/ja/nrid/1000060192621/ |
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識別子 |
60192621 |
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姓名 |
鈴木, 正清 |
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言語 |
ja |
抄録 |
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内容記述タイプ |
Abstract |
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内容記述 |
We address the problem of DOA estimation in positioning of nodes in wireless sensor networks. The Stochastic Maximum Likelihood (SML) algorithm is adopted in this paper. The SML algorithm is well-known for its high resolution of DOA estimation. However, its computational complexity is very high because multidimensional nonlinear optimization problem is usually involved. To reduce the computational complexity of SML estimation, we do the following work. (1) We point out the problems of conventional SML criterion and explain why and how these problems happen. (2) A local AM search method is proposed which could be used to find the local solution near/around the initial value. (3) We propose an algorithm which uses the local AM search method together with the estimation of DML or MUSIC as initial value to find the solution of SML. Simulation results are shown to demonstrate the effectiveness and efficiency of the proposed algorithms. In particular, the algorithm which uses the local AM method and estimation of MUSIC as initial value has much higher resolution and comparable computational complexity to MUSIC. |
書誌情報 |
en : International Journal of Distributed Sensor Networks
巻 2015,
p. 1-11,
発行日 2015
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ISSN |
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収録物識別子タイプ |
PISSN |
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収録物識別子 |
1550-1329 |
DOI |
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識別子タイプ |
DOI |
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関連識別子 |
https://doi.org/10.1155/2015/352012 |
権利 |
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権利情報 |
Copyright c 2015 Faming Gong et al. |
出版者 |
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出版者 |
SAGE Publications |
著者版フラグ |
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言語 |
en |
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値 |
publisher |
出版タイプ |
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出版タイプ |
VoR |
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出版タイプResource |
http://purl.org/coar/version/c_970fb48d4fbd8a85 |