Measurement of surface currents from a shipborne HFSWR

Zhongbao Wang; Junhao Xie; Zhenyuan Ji; Taifan Quan; Xingzhao Liu

doi:10.1109/RADAR.2014.6875639

Measurement of surface currents from a shipborne HFSWR

Zhongbao Wang
, Junhao Xie
, Zhenyuan Ji
, Taifan Quan
, Xingzhao Liu

School of Electronics and Information Engineering, Harbin Institute of Technology
Shanghai Jiao Tong University

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

2 Scopus citations

Abstract

The spreading first-order sea echo spectrum in shipborne high-frequency surface wave radar (HFSWR) severely impacts the measurement of surface currents. Space-time processing techniques like space-time multiple signal classification (ST-MUSIC) algorithm, usually studied for two-dimensional high resolution radar imaging, are the effective methods for solving the problem. The rank of the sea echo covariance matrix is an important indicator of the severity of the sea echo scenario. With this knowledge, the sea echo can be accurately extracted from the complicated radar returns by using the ST-MUSIC algorithm. Furthermore, the least-squares method is introduced to estimate the uniform surface current vectors from a single shipborne HFSWR by fitting the adjacent radial current vectors. The simulation results have verified the validity of these algorithms.

Original language	English
Title of host publication	2014 IEEE Radar Conference
Subtitle of host publication	From Sensing to Information, RadarCon 2014
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	479-483
Number of pages	5
ISBN (Print)	9781479920341
DOIs	https://doi.org/10.1109/RADAR.2014.6875639
State	Published - 2014
Externally published	Yes
Event	2014 IEEE Radar Conference, RadarCon 2014 - Cincinnati, OH, United States Duration: 19 May 2014 → 23 May 2014

Publication series

Name	IEEE National Radar Conference - Proceedings
ISSN (Print)	1097-5659

Conference

Conference	2014 IEEE Radar Conference, RadarCon 2014
Country/Territory	United States
City	Cincinnati, OH
Period	19/05/14 → 23/05/14

Access to Document

10.1109/RADAR.2014.6875639

Cite this

@inproceedings{f20302bd4616497cb96601b63bf72250,

title = "Measurement of surface currents from a shipborne HFSWR",

abstract = "The spreading first-order sea echo spectrum in shipborne high-frequency surface wave radar (HFSWR) severely impacts the measurement of surface currents. Space-time processing techniques like space-time multiple signal classification (ST-MUSIC) algorithm, usually studied for two-dimensional high resolution radar imaging, are the effective methods for solving the problem. The rank of the sea echo covariance matrix is an important indicator of the severity of the sea echo scenario. With this knowledge, the sea echo can be accurately extracted from the complicated radar returns by using the ST-MUSIC algorithm. Furthermore, the least-squares method is introduced to estimate the uniform surface current vectors from a single shipborne HFSWR by fitting the adjacent radial current vectors. The simulation results have verified the validity of these algorithms.",

author = "Zhongbao Wang and Junhao Xie and Zhenyuan Ji and Taifan Quan and Xingzhao Liu",

year = "2014",

doi = "10.1109/RADAR.2014.6875639",

language = "英语",

isbn = "9781479920341",

series = "IEEE National Radar Conference - Proceedings",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

pages = "479--483",

booktitle = "2014 IEEE Radar Conference",

address = "美国",

note = "2014 IEEE Radar Conference, RadarCon 2014 ; Conference date: 19-05-2014 Through 23-05-2014",

}

Wang, Z, Xie, J , Ji, Z, Quan, T & Liu, X 2014, Measurement of surface currents from a shipborne HFSWR. in 2014 IEEE Radar Conference: From Sensing to Information, RadarCon 2014., 6875639, IEEE National Radar Conference - Proceedings, Institute of Electrical and Electronics Engineers Inc., pp. 479-483, 2014 IEEE Radar Conference, RadarCon 2014, Cincinnati, OH, United States, 19/05/14. https://doi.org/10.1109/RADAR.2014.6875639

Measurement of surface currents from a shipborne HFSWR. / Wang, Zhongbao; Xie, Junhao ; Ji, Zhenyuan et al.
2014 IEEE Radar Conference: From Sensing to Information, RadarCon 2014. Institute of Electrical and Electronics Engineers Inc., 2014. p. 479-483 6875639 (IEEE National Radar Conference - Proceedings).

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

TY - GEN

T1 - Measurement of surface currents from a shipborne HFSWR

AU - Wang, Zhongbao

AU - Xie, Junhao

AU - Ji, Zhenyuan

AU - Quan, Taifan

AU - Liu, Xingzhao

PY - 2014

Y1 - 2014

N2 - The spreading first-order sea echo spectrum in shipborne high-frequency surface wave radar (HFSWR) severely impacts the measurement of surface currents. Space-time processing techniques like space-time multiple signal classification (ST-MUSIC) algorithm, usually studied for two-dimensional high resolution radar imaging, are the effective methods for solving the problem. The rank of the sea echo covariance matrix is an important indicator of the severity of the sea echo scenario. With this knowledge, the sea echo can be accurately extracted from the complicated radar returns by using the ST-MUSIC algorithm. Furthermore, the least-squares method is introduced to estimate the uniform surface current vectors from a single shipborne HFSWR by fitting the adjacent radial current vectors. The simulation results have verified the validity of these algorithms.

AB - The spreading first-order sea echo spectrum in shipborne high-frequency surface wave radar (HFSWR) severely impacts the measurement of surface currents. Space-time processing techniques like space-time multiple signal classification (ST-MUSIC) algorithm, usually studied for two-dimensional high resolution radar imaging, are the effective methods for solving the problem. The rank of the sea echo covariance matrix is an important indicator of the severity of the sea echo scenario. With this knowledge, the sea echo can be accurately extracted from the complicated radar returns by using the ST-MUSIC algorithm. Furthermore, the least-squares method is introduced to estimate the uniform surface current vectors from a single shipborne HFSWR by fitting the adjacent radial current vectors. The simulation results have verified the validity of these algorithms.

UR - https://www.scopus.com/pages/publications/84906774344

U2 - 10.1109/RADAR.2014.6875639

DO - 10.1109/RADAR.2014.6875639

M3 - 会议稿件

AN - SCOPUS:84906774344

SN - 9781479920341

T3 - IEEE National Radar Conference - Proceedings

SP - 479

EP - 483

BT - 2014 IEEE Radar Conference

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 2014 IEEE Radar Conference, RadarCon 2014

Y2 - 19 May 2014 through 23 May 2014

ER -

Measurement of surface currents from a shipborne HFSWR

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