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: Journal Article
Language:English
Published: 2020
Subjects:
Online Access:https://hdl.handle.net/10356/139074
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author Li, Jianshu
Lin, Zhiping
Razul, Sirajudeen Gulam
Kumar, A. Anil
Zheng, Yuanjin
See, Chong-Meng
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
author_sort Li, Jianshu
collection NTU
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.
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spelling ntu-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.
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
title 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_short 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
topic Engineering::Electrical and electronic engineering
Direction of Arrival
Array Signal Processing
url https://hdl.handle.net/10356/139074
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