DOA estimation with a rotational uniform linear array (RULA) and unknown spatial noise covariance

Direction of Arrival (DOA) estimation is one of the major tasks in array signal processing. In this paper, a new DOA estimation method is proposed using a rotational uniform linear array (RULA) consisting of omnidirectional sensors. The main contribution of the proposed method is that the number of...

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Main Authors: Li, Jianshu, Lin, Zhiping, Razul, Sirajudeen Gulam, Kumar, A. Anil, Zheng, Yuanjin, See, Chong-Meng
Other Authors: School of Electrical and Electronic Engineering
Format: Article
Language:English
Published: 2020
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Online Access:https://hdl.handle.net/10356/139074
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Institution: Nanyang Technological University
Language: English
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spelling sg-ntu-dr.10356-1390742020-05-15T05:11:18Z DOA estimation with a rotational uniform linear array (RULA) and unknown spatial noise covariance Li, Jianshu Lin, Zhiping Razul, Sirajudeen Gulam Kumar, A. Anil Zheng, Yuanjin See, Chong-Meng School of Electrical and Electronic Engineering Temasek Laboratories Engineering::Electrical and electronic engineering Direction of Arrival Array Signal Processing Direction of Arrival (DOA) estimation is one of the major tasks in array signal processing. In this paper, a new DOA estimation method is proposed using a rotational uniform linear array (RULA) consisting of omnidirectional sensors. The main contribution of the proposed method is that the number of distinguishable signals is larger than the methods in the literature with a uniform linear array consisting of the same number of omnidirectional sensors. Moreover, the new method can effectively reduce unknown spatial noises using a generalized complement projection matrix under the RULA framework. Simulations are presented to illustrate the effectiveness of the proposed method and comparison with some existing DOA estimation methods is also made. 2020-05-15T05:11:18Z 2020-05-15T05:11:18Z 2016 Journal Article Li, J., Lin, Z., Razul, S. G., Kumar, A. A., Zheng, Y., & See, C.-M. (2018). DOA estimation with a rotational uniform linear array (RULA) and unknown spatial noise covariance. Multidimensional Systems and Signal Processing, 29(2), 537-561. doi:10.1007/s11045-016-0425-0 0923-6082 https://hdl.handle.net/10356/139074 10.1007/s11045-016-0425-0 2-s2.0-84973639299 2 29 537 561 en Multidimensional Systems and Signal Processing © 2016 Springer Science+Business Media New York. All rights reserved.
institution Nanyang Technological University
building NTU Library
country Singapore
collection DR-NTU
language English
topic Engineering::Electrical and electronic engineering
Direction of Arrival
Array Signal Processing
spellingShingle Engineering::Electrical and electronic engineering
Direction of Arrival
Array Signal Processing
Li, Jianshu
Lin, Zhiping
Razul, Sirajudeen Gulam
Kumar, A. Anil
Zheng, Yuanjin
See, Chong-Meng
DOA estimation with a rotational uniform linear array (RULA) and unknown spatial noise covariance
description Direction of Arrival (DOA) estimation is one of the major tasks in array signal processing. In this paper, a new DOA estimation method is proposed using a rotational uniform linear array (RULA) consisting of omnidirectional sensors. The main contribution of the proposed method is that the number of distinguishable signals is larger than the methods in the literature with a uniform linear array consisting of the same number of omnidirectional sensors. Moreover, the new method can effectively reduce unknown spatial noises using a generalized complement projection matrix under the RULA framework. Simulations are presented to illustrate the effectiveness of the proposed method and comparison with some existing DOA estimation methods is also made.
author2 School of Electrical and Electronic Engineering
author_facet School of Electrical and Electronic Engineering
Li, Jianshu
Lin, Zhiping
Razul, Sirajudeen Gulam
Kumar, A. Anil
Zheng, Yuanjin
See, Chong-Meng
format Article
author Li, Jianshu
Lin, Zhiping
Razul, Sirajudeen Gulam
Kumar, A. Anil
Zheng, Yuanjin
See, Chong-Meng
author_sort Li, Jianshu
title DOA estimation with a rotational uniform linear array (RULA) and unknown spatial noise covariance
title_short DOA estimation with a rotational uniform linear array (RULA) and unknown spatial noise covariance
title_full DOA estimation with a rotational uniform linear array (RULA) and unknown spatial noise covariance
title_fullStr DOA estimation with a rotational uniform linear array (RULA) and unknown spatial noise covariance
title_full_unstemmed DOA estimation with a rotational uniform linear array (RULA) and unknown spatial noise covariance
title_sort doa estimation with a rotational uniform linear array (rula) and unknown spatial noise covariance
publishDate 2020
url https://hdl.handle.net/10356/139074
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