Prediction method for ionospheric clutter suppression for HFSWR

Zhe Lyu; Chang Jun Yu; Ai Jun Liu

doi:10.1049/el.2019.1160

Prediction method for ionospheric clutter suppression for HFSWR

Zhe Lyu
, Chang Jun Yu^*
, Ai Jun Liu

^*Corresponding author for this work

Harbin Institute of Technology Weihai

Research output: Contribution to journal › Article › peer-review

4 Scopus citations

Abstract

The detection performance of high-frequency surface wave radar (HFSWR) is significantly impacted by ionospheric clutter and sea clutter. In order to suppress the ionospheric clutter, a new method based on the largest Lyapunov exponent prediction algorithm is proposed in this Letter. Firstly, it is demonstrated, for the first time, that the ionospheric clutter from HFSWR is a chaotic dynamical process, and then the largest Lyapunov exponent is estimated using the Wolf algorithm. After verifying the actual data, this suppression algorithm can decrease the amplitude of the ionospheric clutter by at least 30 dB.

Original language	English
Pages (from-to)	857-859
Number of pages	3
Journal	Electronics Letters
Volume	55
Issue number	15
DOIs	https://doi.org/10.1049/el.2019.1160
State	Published - 25 Jul 2019
Externally published	Yes

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10.1049/el.2019.1160

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title = "Prediction method for ionospheric clutter suppression for HFSWR",

abstract = "The detection performance of high-frequency surface wave radar (HFSWR) is significantly impacted by ionospheric clutter and sea clutter. In order to suppress the ionospheric clutter, a new method based on the largest Lyapunov exponent prediction algorithm is proposed in this Letter. Firstly, it is demonstrated, for the first time, that the ionospheric clutter from HFSWR is a chaotic dynamical process, and then the largest Lyapunov exponent is estimated using the Wolf algorithm. After verifying the actual data, this suppression algorithm can decrease the amplitude of the ionospheric clutter by at least 30 dB.",

author = "Zhe Lyu and Yu, \{Chang Jun\} and Liu, \{Ai Jun\}",

note = "Publisher Copyright: {\textcopyright} The Institution of Engineering and Technology 2019",

year = "2019",

month = jul,

day = "25",

doi = "10.1049/el.2019.1160",

language = "英语",

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journal = "Electronics Letters",

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AU - Lyu, Zhe

AU - Yu, Chang Jun

AU - Liu, Ai Jun

PY - 2019/7/25

Y1 - 2019/7/25

N2 - The detection performance of high-frequency surface wave radar (HFSWR) is significantly impacted by ionospheric clutter and sea clutter. In order to suppress the ionospheric clutter, a new method based on the largest Lyapunov exponent prediction algorithm is proposed in this Letter. Firstly, it is demonstrated, for the first time, that the ionospheric clutter from HFSWR is a chaotic dynamical process, and then the largest Lyapunov exponent is estimated using the Wolf algorithm. After verifying the actual data, this suppression algorithm can decrease the amplitude of the ionospheric clutter by at least 30 dB.

AB - The detection performance of high-frequency surface wave radar (HFSWR) is significantly impacted by ionospheric clutter and sea clutter. In order to suppress the ionospheric clutter, a new method based on the largest Lyapunov exponent prediction algorithm is proposed in this Letter. Firstly, it is demonstrated, for the first time, that the ionospheric clutter from HFSWR is a chaotic dynamical process, and then the largest Lyapunov exponent is estimated using the Wolf algorithm. After verifying the actual data, this suppression algorithm can decrease the amplitude of the ionospheric clutter by at least 30 dB.

UR - https://www.scopus.com/pages/publications/85069934373

U2 - 10.1049/el.2019.1160

DO - 10.1049/el.2019.1160

M3 - 文章

AN - SCOPUS:85069934373

SN - 0013-5194

VL - 55

SP - 857

EP - 859

JO - Electronics Letters

JF - Electronics Letters

IS - 15

ER -

Prediction method for ionospheric clutter suppression for HFSWR

Abstract

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