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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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. |
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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 |
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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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School of Electrical and Electronic Engineering |
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School of Electrical and Electronic Engineering Li, Jianshu Lin, Zhiping Razul, Sirajudeen Gulam Kumar, A. Anil Zheng, Yuanjin See, Chong-Meng |
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Article |
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Li, Jianshu Lin, Zhiping Razul, Sirajudeen Gulam Kumar, A. Anil Zheng, Yuanjin See, Chong-Meng |
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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 |
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2020 |
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https://hdl.handle.net/10356/139074 |
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