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Spatial Signature Estimation with an Uncalibrated Uniform Linear Array
https://tokushima-u.repo.nii.ac.jp/records/2008651
https://tokushima-u.repo.nii.ac.jp/records/2008651f26c3ebf-2d33-4cfa-8bf4-dcffbb25d0a9
| 名前 / ファイル | ライセンス | アクション |
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sensors_15_6_13899.pdf (310 KB)
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| Item type | 文献 / Documents(1) | |||||||||||||||||
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| 公開日 | 2021-08-26 | |||||||||||||||||
| アクセス権 | ||||||||||||||||||
| アクセス権 | open access | |||||||||||||||||
| 資源タイプ | ||||||||||||||||||
| 資源タイプ識別子 | http://purl.org/coar/resource_type/c_6501 | |||||||||||||||||
| 資源タイプ | journal article | |||||||||||||||||
| 出版社版DOI | ||||||||||||||||||
| 識別子タイプ | DOI | |||||||||||||||||
| 関連識別子 | https://doi.org/10.3390/s150613899 | |||||||||||||||||
| 言語 | ja | |||||||||||||||||
| 関連名称 | 10.3390/s150613899 | |||||||||||||||||
| 出版タイプ | ||||||||||||||||||
| 出版タイプ | VoR | |||||||||||||||||
| 出版タイプResource | http://purl.org/coar/version/c_970fb48d4fbd8a85 | |||||||||||||||||
| タイトル | ||||||||||||||||||
| タイトル | Spatial Signature Estimation with an Uncalibrated Uniform Linear Array | |||||||||||||||||
| 言語 | en | |||||||||||||||||
| 著者 |
Cao, Xiang
× Cao, Xiang
× Xin, Jingmin
× 西尾, 芳文
WEKO
87
× Zheng, Nanning
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| 抄録 | ||||||||||||||||||
| 内容記述タイプ | Abstract | |||||||||||||||||
| 内容記述 | In this paper, the problem of spatial signature estimation using a uniform linear array (ULA) with unknown sensor gain and phase errors is considered. As is well known, the directions-of-arrival (DOAs) can only be determined within an unknown rotational angle in this array model. However, the phase ambiguity has no impact on the identification of the spatial signature. Two auto-calibration methods are presented for spatial signature estimation. In our methods, the rotational DOAs and model error parameters are firstly obtained, and the spatial signature is subsequently calculated. The first method extracts two subarrays from the ULA to construct an estimator, and the elements of the array can be used several times in one subarray. The other fully exploits multiple invariances in the interior of the sensor array, and a multidimensional nonlinear problem is formulated. A Gauss–Newton iterative algorithm is applied for solving it. The first method can provide excellent initial inputs for the second one. The effectiveness of the proposed algorithms is demonstrated by several simulation results. | |||||||||||||||||
| 言語 | en | |||||||||||||||||
| キーワード | ||||||||||||||||||
| 言語 | en | |||||||||||||||||
| 主題Scheme | Other | |||||||||||||||||
| 主題 | array signal processing | |||||||||||||||||
| キーワード | ||||||||||||||||||
| 言語 | en | |||||||||||||||||
| 主題Scheme | Other | |||||||||||||||||
| 主題 | auto-calibration | |||||||||||||||||
| キーワード | ||||||||||||||||||
| 言語 | en | |||||||||||||||||
| 主題Scheme | Other | |||||||||||||||||
| 主題 | parameter estimation | |||||||||||||||||
| 書誌情報 |
en : Sensors 巻 15, 号 6, p. 13899-13916, 発行日 2015-06-12 |
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| 収録物ID | ||||||||||||||||||
| 収録物識別子タイプ | ISSN | |||||||||||||||||
| 収録物識別子 | 14248220 | |||||||||||||||||
| 出版者 | ||||||||||||||||||
| 出版者 | MDPI | |||||||||||||||||
| 言語 | en | |||||||||||||||||
| 権利情報 | ||||||||||||||||||
| 言語 | en | |||||||||||||||||
| 権利情報 | This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution license (http://creativecommons.org/licenses/by/4.0/). | |||||||||||||||||
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| 識別子 | 318360 | |||||||||||||||||
| 識別子タイプ | URI | |||||||||||||||||
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| 言語 | eng | |||||||||||||||||
