Open AccessPrediction method for ionospheric clutter suppression for HFSWR
Author(s) -
Zhe Lyu,
ChangJun Yu,
AiJun Liu
Publication year - 2019
Publication title -
electronics letters
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.375
H-Index - 146
eISSN - 1350-911X
pISSN - 0013-5194
DOI - 10.1049/el.2019.1160
Subject(s) - clutter , ionosphere , radar , lyapunov exponent , chaotic , constant false alarm rate , amplitude , computer science , algorithm , geology , physics , geophysics , telecommunications , artificial intelligence , optics
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.