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  1. 学術雑誌掲載済論文
  2. 洋雑誌

A Low Computational Complexity SML Estimation Algorithm of DOA for Wireless Sensor Networks

https://kitami-it.repo.nii.ac.jp/records/8551
https://kitami-it.repo.nii.ac.jp/records/8551
7b7481c0-4a2a-486c-90e1-584b24d72bfe
名前 / ファイル ライセンス アクション
352012.pdf 352012 (1.8 MB)
license.icon
Item type 学術雑誌論文 / Journal Article(1)
公開日 2017-12-14
タイトル
言語 en
タイトル A Low Computational Complexity SML Estimation Algorithm of DOA for Wireless Sensor Networks
言語
言語 eng
資源タイプ
資源 http://purl.org/coar/resource_type/c_6501
タイプ journal article
アクセス権
アクセス権URI open access
著者 Gong, Faming

× Gong, Faming

WEKO 89655

en Gong, Faming

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Chen, Haihua

× Chen, Haihua

WEKO 89656

en Chen, Haihua

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Li, Shibao

× Li, Shibao

WEKO 89657

en Li, Shibao

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Liu, Jianhang

× Liu, Jianhang

WEKO 89658

en Liu, Jianhang

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Gu, Zhaozhi

× Gu, Zhaozhi

WEKO 89659

en Gu, Zhaozhi

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Suzuki, Masakiyo

× Suzuki, Masakiyo

WEKO 89660

en Suzuki, Masakiyo

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著者別名
姓名 鈴木, 正清
言語 ja
抄録
内容記述タイプ Abstract
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
ISSN
収録物識別子タイプ ISSN
収録物識別子 1550-1329
DOI
識別子タイプ DOI
関連識別子 https://doi.org/10.1155/2015/352012
権利
権利情報 Copyright c 2015 Faming Gong et al.
出版者
出版者 SAGE Publications
著者版フラグ
値 publisher
出版タイプ
出版タイプ VoR
出版タイプResource http://purl.org/coar/version/c_970fb48d4fbd8a85
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