In small-aperture high frequency surface wave radar, the main-lobe clutter all can be seen as a more severe space spread clutter under the influence of the smaller array aperture. It compromises the detection performance of moving vessels, especially when the target is submerged in the clutter. To tackle this issue, an improved spread clutter estimated canceller, combining spread clutter estimated canceller, adaptive selection strategy of the optimal training samples and rotating spatial beam method, is presented to suppress main-lobe clutter in both angle domain and range domain. According to the experimental results, the proposed algorithm is shown to have far superior clutter suppression performance based on the real data.
Di YAO
Harbin Institute of Technology
Xin ZHANG
Harbin Institute of Technology
Qiang YANG
Harbin Institute of Technology
Weibo DENG
Harbin Institute of Technology
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Di YAO, Xin ZHANG, Qiang YANG, Weibo DENG, "An Improved Spread Clutter Estimated Canceller for Main-Lobe Clutter Suppression in Small-Aperture HFSWR" in IEICE TRANSACTIONS on Fundamentals,
vol. E101-A, no. 9, pp. 1575-1579, September 2018, doi: 10.1587/transfun.E101.A.1575.
Abstract: In small-aperture high frequency surface wave radar, the main-lobe clutter all can be seen as a more severe space spread clutter under the influence of the smaller array aperture. It compromises the detection performance of moving vessels, especially when the target is submerged in the clutter. To tackle this issue, an improved spread clutter estimated canceller, combining spread clutter estimated canceller, adaptive selection strategy of the optimal training samples and rotating spatial beam method, is presented to suppress main-lobe clutter in both angle domain and range domain. According to the experimental results, the proposed algorithm is shown to have far superior clutter suppression performance based on the real data.
URL: https://global.ieice.org/en_transactions/fundamentals/10.1587/transfun.E101.A.1575/_p
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@ARTICLE{e101-a_9_1575,
author={Di YAO, Xin ZHANG, Qiang YANG, Weibo DENG, },
journal={IEICE TRANSACTIONS on Fundamentals},
title={An Improved Spread Clutter Estimated Canceller for Main-Lobe Clutter Suppression in Small-Aperture HFSWR},
year={2018},
volume={E101-A},
number={9},
pages={1575-1579},
abstract={In small-aperture high frequency surface wave radar, the main-lobe clutter all can be seen as a more severe space spread clutter under the influence of the smaller array aperture. It compromises the detection performance of moving vessels, especially when the target is submerged in the clutter. To tackle this issue, an improved spread clutter estimated canceller, combining spread clutter estimated canceller, adaptive selection strategy of the optimal training samples and rotating spatial beam method, is presented to suppress main-lobe clutter in both angle domain and range domain. According to the experimental results, the proposed algorithm is shown to have far superior clutter suppression performance based on the real data.},
keywords={},
doi={10.1587/transfun.E101.A.1575},
ISSN={1745-1337},
month={September},}
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TY - JOUR
TI - An Improved Spread Clutter Estimated Canceller for Main-Lobe Clutter Suppression in Small-Aperture HFSWR
T2 - IEICE TRANSACTIONS on Fundamentals
SP - 1575
EP - 1579
AU - Di YAO
AU - Xin ZHANG
AU - Qiang YANG
AU - Weibo DENG
PY - 2018
DO - 10.1587/transfun.E101.A.1575
JO - IEICE TRANSACTIONS on Fundamentals
SN - 1745-1337
VL - E101-A
IS - 9
JA - IEICE TRANSACTIONS on Fundamentals
Y1 - September 2018
AB - In small-aperture high frequency surface wave radar, the main-lobe clutter all can be seen as a more severe space spread clutter under the influence of the smaller array aperture. It compromises the detection performance of moving vessels, especially when the target is submerged in the clutter. To tackle this issue, an improved spread clutter estimated canceller, combining spread clutter estimated canceller, adaptive selection strategy of the optimal training samples and rotating spatial beam method, is presented to suppress main-lobe clutter in both angle domain and range domain. According to the experimental results, the proposed algorithm is shown to have far superior clutter suppression performance based on the real data.
ER -