IEICE TRANSACTIONS on Information
A Weighted Forward-Backward Spatial Smoothing DOA Estimation Algorithm Based on TLS-ESPRIT
Summary :
Based on TLS-ESPRIT algorithm, this paper proposes a weighted spatial smoothing DOA estimation algorithm to address the problem that the conventional TLS-ESPRIT algorithm will be disabled to estimate the direction of arrival (DOA) in the scenario of coherent sources. The proposed method divides the received signal array into several subarrays with special structural feature. Then, utilizing these subarrays, this paper constructs the new weighted covariance matrix to estimate the DOA based on TLS-ESPRIT. The auto-correlation and cross-correlation information of subarrays in the proposed algorithm is extracted sufficiently, improving the orthogonality between the signal subspace and the noise subspace so that the DOA of coherent sources could be estimated accurately. The simulations show that the proposed algorithm is superior to the conventional spatial smoothing algorithms under different signal to noise ratio (SNR) and snapshot numbers with coherent sources.
- Publication
- IEICE TRANSACTIONS on Information Vol.E104-D No.6 pp.881-884
- Publication Date
- 2021/06/01
- Publicized
- 2021/03/16
- Online ISSN
- 1745-1361
- DOI
- 10.1587/transinf.2020EDL8144
- Type of Manuscript
- LETTER
- Category
- Fundamentals of Information Systems
Authors
Manlin XIAO
Shanghai University of Engineering Science
Zhibo DUAN
Shanghai University of Engineering Science
Zhenglong YANG
Shanghai University of Engineering Science
Keyword
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Manlin XIAO, Zhibo DUAN, Zhenglong YANG, "A Weighted Forward-Backward Spatial Smoothing DOA Estimation Algorithm Based on TLS-ESPRIT" in IEICE TRANSACTIONS on Information,
vol. E104-D, no. 6, pp. 881-884, June 2021, doi: 10.1587/transinf.2020EDL8144.
Abstract: Based on TLS-ESPRIT algorithm, this paper proposes a weighted spatial smoothing DOA estimation algorithm to address the problem that the conventional TLS-ESPRIT algorithm will be disabled to estimate the direction of arrival (DOA) in the scenario of coherent sources. The proposed method divides the received signal array into several subarrays with special structural feature. Then, utilizing these subarrays, this paper constructs the new weighted covariance matrix to estimate the DOA based on TLS-ESPRIT. The auto-correlation and cross-correlation information of subarrays in the proposed algorithm is extracted sufficiently, improving the orthogonality between the signal subspace and the noise subspace so that the DOA of coherent sources could be estimated accurately. The simulations show that the proposed algorithm is superior to the conventional spatial smoothing algorithms under different signal to noise ratio (SNR) and snapshot numbers with coherent sources.
URL: https://global.ieice.org/en_transactions/information/10.1587/transinf.2020EDL8144/_p
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@ARTICLE{e104-d_6_881,
author={Manlin XIAO, Zhibo DUAN, Zhenglong YANG, },
journal={IEICE TRANSACTIONS on Information},
title={A Weighted Forward-Backward Spatial Smoothing DOA Estimation Algorithm Based on TLS-ESPRIT},
year={2021},
volume={E104-D},
number={6},
pages={881-884},
abstract={Based on TLS-ESPRIT algorithm, this paper proposes a weighted spatial smoothing DOA estimation algorithm to address the problem that the conventional TLS-ESPRIT algorithm will be disabled to estimate the direction of arrival (DOA) in the scenario of coherent sources. The proposed method divides the received signal array into several subarrays with special structural feature. Then, utilizing these subarrays, this paper constructs the new weighted covariance matrix to estimate the DOA based on TLS-ESPRIT. The auto-correlation and cross-correlation information of subarrays in the proposed algorithm is extracted sufficiently, improving the orthogonality between the signal subspace and the noise subspace so that the DOA of coherent sources could be estimated accurately. The simulations show that the proposed algorithm is superior to the conventional spatial smoothing algorithms under different signal to noise ratio (SNR) and snapshot numbers with coherent sources.},
keywords={},
doi={10.1587/transinf.2020EDL8144},
ISSN={1745-1361},
month={June},}
Copy
TY - JOUR
TI - A Weighted Forward-Backward Spatial Smoothing DOA Estimation Algorithm Based on TLS-ESPRIT
T2 - IEICE TRANSACTIONS on Information
SP - 881
EP - 884
AU - Manlin XIAO
AU - Zhibo DUAN
AU - Zhenglong YANG
PY - 2021
DO - 10.1587/transinf.2020EDL8144
JO - IEICE TRANSACTIONS on Information
SN - 1745-1361
VL - E104-D
IS - 6
JA - IEICE TRANSACTIONS on Information
Y1 - June 2021
AB - Based on TLS-ESPRIT algorithm, this paper proposes a weighted spatial smoothing DOA estimation algorithm to address the problem that the conventional TLS-ESPRIT algorithm will be disabled to estimate the direction of arrival (DOA) in the scenario of coherent sources. The proposed method divides the received signal array into several subarrays with special structural feature. Then, utilizing these subarrays, this paper constructs the new weighted covariance matrix to estimate the DOA based on TLS-ESPRIT. The auto-correlation and cross-correlation information of subarrays in the proposed algorithm is extracted sufficiently, improving the orthogonality between the signal subspace and the noise subspace so that the DOA of coherent sources could be estimated accurately. The simulations show that the proposed algorithm is superior to the conventional spatial smoothing algorithms under different signal to noise ratio (SNR) and snapshot numbers with coherent sources.
ER -
English
