Joint Direction-Of-Departure and Direction-Of-Arrival estimation in MIMO array

Wentao Shi; Jianguo Huang; Chengbing He; Jing Han

doi:10.1109/TENCON.2013.6718887

Joint Direction-Of-Departure and Direction-Of-Arrival estimation in MIMO array

Wentao Shi, Jianguo Huang, Chengbing He, Jing Han

Ocean Institute

Northwestern Polytechnical University Xian

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

3 Scopus citations

Abstract

A novel method for the joint estimation of the Direction-Of-Departure (DOD) and Direction-Of-Arrival (DOA) estimation in multiple-input multiple-output (MIMO) array is proposed in this paper. By using the time delay, we can obtain two cross-correlation matrices, where the effect of additive noise is eliminated. Then singular value decomposition (SVD) technique is used to achieve the signal subspace matrix. And an ESPRIT-like method is used to resolve the signal subspace and achieve the estimates of DOAs. Finally, we substitute the DOAs into the MIMO MUSIC spectrum function and do an one-dimensional search to get the estimates of DODs. The proposed method can achieve automatically paired estimations of DOD and DOA. Simulation results are given to prove the rightness of the proposed method.

Original language	English
Title of host publication	2013 IEEE International Conference of IEEE Region 10, IEEE TENCON 2013 - Conference Proceedings
DOIs	https://doi.org/10.1109/TENCON.2013.6718887
State	Published - 2013
Event	2013 IEEE International Conference of IEEE Region 10, IEEE TENCON 2013 - Xi'an, Shaanxi, China Duration: 22 Oct 2013 → 25 Oct 2013

Publication series

Name	IEEE Region 10 Annual International Conference, Proceedings/TENCON
ISSN (Print)	2159-3442
ISSN (Electronic)	2159-3450

Conference

Conference	2013 IEEE International Conference of IEEE Region 10, IEEE TENCON 2013
Country/Territory	China
City	Xi'an, Shaanxi
Period	22/10/13 → 25/10/13

Keywords

cross-correlation
Direction-Of-Arrival (DOA)
Direction-Of-Departure (DOD)
multiple-input multiple-output (MIMO) array
singular value decomposition (SVD)
spectrum function

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10.1109/TENCON.2013.6718887

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@inproceedings{a962332793684d18ba05667b23b3ac9c,

title = "Joint Direction-Of-Departure and Direction-Of-Arrival estimation in MIMO array",

abstract = "A novel method for the joint estimation of the Direction-Of-Departure (DOD) and Direction-Of-Arrival (DOA) estimation in multiple-input multiple-output (MIMO) array is proposed in this paper. By using the time delay, we can obtain two cross-correlation matrices, where the effect of additive noise is eliminated. Then singular value decomposition (SVD) technique is used to achieve the signal subspace matrix. And an ESPRIT-like method is used to resolve the signal subspace and achieve the estimates of DOAs. Finally, we substitute the DOAs into the MIMO MUSIC spectrum function and do an one-dimensional search to get the estimates of DODs. The proposed method can achieve automatically paired estimations of DOD and DOA. Simulation results are given to prove the rightness of the proposed method.",

keywords = "cross-correlation, Direction-Of-Arrival (DOA), Direction-Of-Departure (DOD), multiple-input multiple-output (MIMO) array, singular value decomposition (SVD), spectrum function",

author = "Wentao Shi and Jianguo Huang and Chengbing He and Jing Han",

year = "2013",

doi = "10.1109/TENCON.2013.6718887",

language = "英语",

isbn = "9781479928262",

series = "IEEE Region 10 Annual International Conference, Proceedings/TENCON",

booktitle = "2013 IEEE International Conference of IEEE Region 10, IEEE TENCON 2013 - Conference Proceedings",

note = "2013 IEEE International Conference of IEEE Region 10, IEEE TENCON 2013 ; Conference date: 22-10-2013 Through 25-10-2013",

}

Shi, W, Huang, J, He, C & Han, J 2013, Joint Direction-Of-Departure and Direction-Of-Arrival estimation in MIMO array. in 2013 IEEE International Conference of IEEE Region 10, IEEE TENCON 2013 - Conference Proceedings., 6718887, IEEE Region 10 Annual International Conference, Proceedings/TENCON, 2013 IEEE International Conference of IEEE Region 10, IEEE TENCON 2013, Xi'an, Shaanxi, China, 22/10/13. https://doi.org/10.1109/TENCON.2013.6718887

Joint Direction-Of-Departure and Direction-Of-Arrival estimation in MIMO array. / Shi, Wentao; Huang, Jianguo; He, Chengbing et al.
2013 IEEE International Conference of IEEE Region 10, IEEE TENCON 2013 - Conference Proceedings. 2013. 6718887 (IEEE Region 10 Annual International Conference, Proceedings/TENCON).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Joint Direction-Of-Departure and Direction-Of-Arrival estimation in MIMO array

AU - Shi, Wentao

AU - Huang, Jianguo

AU - He, Chengbing

AU - Han, Jing

PY - 2013

Y1 - 2013

N2 - A novel method for the joint estimation of the Direction-Of-Departure (DOD) and Direction-Of-Arrival (DOA) estimation in multiple-input multiple-output (MIMO) array is proposed in this paper. By using the time delay, we can obtain two cross-correlation matrices, where the effect of additive noise is eliminated. Then singular value decomposition (SVD) technique is used to achieve the signal subspace matrix. And an ESPRIT-like method is used to resolve the signal subspace and achieve the estimates of DOAs. Finally, we substitute the DOAs into the MIMO MUSIC spectrum function and do an one-dimensional search to get the estimates of DODs. The proposed method can achieve automatically paired estimations of DOD and DOA. Simulation results are given to prove the rightness of the proposed method.

AB - A novel method for the joint estimation of the Direction-Of-Departure (DOD) and Direction-Of-Arrival (DOA) estimation in multiple-input multiple-output (MIMO) array is proposed in this paper. By using the time delay, we can obtain two cross-correlation matrices, where the effect of additive noise is eliminated. Then singular value decomposition (SVD) technique is used to achieve the signal subspace matrix. And an ESPRIT-like method is used to resolve the signal subspace and achieve the estimates of DOAs. Finally, we substitute the DOAs into the MIMO MUSIC spectrum function and do an one-dimensional search to get the estimates of DODs. The proposed method can achieve automatically paired estimations of DOD and DOA. Simulation results are given to prove the rightness of the proposed method.

KW - cross-correlation

KW - Direction-Of-Arrival (DOA)

KW - Direction-Of-Departure (DOD)

KW - multiple-input multiple-output (MIMO) array

KW - singular value decomposition (SVD)

KW - spectrum function

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Y2 - 22 October 2013 through 25 October 2013

ER -

Joint Direction-Of-Departure and Direction-Of-Arrival estimation in MIMO array

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