In the user-congested high-frequency band, radio frequency interference (RFI) is a dominant factor that degrades the detection performance of high-frequency surface wave radar (HFSWR). Up to now, various RFI suppression algorithms have been proposed while they are usually inapplicable to the compact HFSWR because of the minimal array aperture. Therefore, this letter proposes a novel RFI mitigation scheme for compact HFSWR, even for single antenna. The scheme utilized the robust principal component analysis to separate RFI and target, based on the time-frequency distribution characteristics of the RFI. The effectiveness of this scheme is demonstrated by the measured data, which can effectively suppress RFI without losing target signal.
Di YAO
Harbin Institute of Technology at Weihai,Collaborative Innovation Center of Information Sensing and Understanding at Harbin Institute of Technology
Aijun LIU
Harbin Institute of Technology at Weihai,Collaborative Innovation Center of Information Sensing and Understanding at Harbin Institute of Technology
Hongzhi LI
Collaborative Innovation Center of Information Sensing and Understanding at Harbin Institute of Technology,Harbin Institute of Technology
Changjun YU
Harbin Institute of Technology at Weihai,Collaborative Innovation Center of Information Sensing and Understanding at Harbin Institute of Technology
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Di YAO, Aijun LIU, Hongzhi LI, Changjun YU, "RPCA-Based Radio Interference Cancellation Algorithm for Compact HF Surface Wave Radar" in IEICE TRANSACTIONS on Fundamentals,
vol. E104-A, no. 4, pp. 757-761, April 2021, doi: 10.1587/transfun.2020EAL2093.
Abstract: In the user-congested high-frequency band, radio frequency interference (RFI) is a dominant factor that degrades the detection performance of high-frequency surface wave radar (HFSWR). Up to now, various RFI suppression algorithms have been proposed while they are usually inapplicable to the compact HFSWR because of the minimal array aperture. Therefore, this letter proposes a novel RFI mitigation scheme for compact HFSWR, even for single antenna. The scheme utilized the robust principal component analysis to separate RFI and target, based on the time-frequency distribution characteristics of the RFI. The effectiveness of this scheme is demonstrated by the measured data, which can effectively suppress RFI without losing target signal.
URL: https://global.ieice.org/en_transactions/fundamentals/10.1587/transfun.2020EAL2093/_p
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@ARTICLE{e104-a_4_757,
author={Di YAO, Aijun LIU, Hongzhi LI, Changjun YU, },
journal={IEICE TRANSACTIONS on Fundamentals},
title={RPCA-Based Radio Interference Cancellation Algorithm for Compact HF Surface Wave Radar},
year={2021},
volume={E104-A},
number={4},
pages={757-761},
abstract={In the user-congested high-frequency band, radio frequency interference (RFI) is a dominant factor that degrades the detection performance of high-frequency surface wave radar (HFSWR). Up to now, various RFI suppression algorithms have been proposed while they are usually inapplicable to the compact HFSWR because of the minimal array aperture. Therefore, this letter proposes a novel RFI mitigation scheme for compact HFSWR, even for single antenna. The scheme utilized the robust principal component analysis to separate RFI and target, based on the time-frequency distribution characteristics of the RFI. The effectiveness of this scheme is demonstrated by the measured data, which can effectively suppress RFI without losing target signal.},
keywords={},
doi={10.1587/transfun.2020EAL2093},
ISSN={1745-1337},
month={April},}
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TY - JOUR
TI - RPCA-Based Radio Interference Cancellation Algorithm for Compact HF Surface Wave Radar
T2 - IEICE TRANSACTIONS on Fundamentals
SP - 757
EP - 761
AU - Di YAO
AU - Aijun LIU
AU - Hongzhi LI
AU - Changjun YU
PY - 2021
DO - 10.1587/transfun.2020EAL2093
JO - IEICE TRANSACTIONS on Fundamentals
SN - 1745-1337
VL - E104-A
IS - 4
JA - IEICE TRANSACTIONS on Fundamentals
Y1 - April 2021
AB - In the user-congested high-frequency band, radio frequency interference (RFI) is a dominant factor that degrades the detection performance of high-frequency surface wave radar (HFSWR). Up to now, various RFI suppression algorithms have been proposed while they are usually inapplicable to the compact HFSWR because of the minimal array aperture. Therefore, this letter proposes a novel RFI mitigation scheme for compact HFSWR, even for single antenna. The scheme utilized the robust principal component analysis to separate RFI and target, based on the time-frequency distribution characteristics of the RFI. The effectiveness of this scheme is demonstrated by the measured data, which can effectively suppress RFI without losing target signal.
ER -