@inproceedings{b154a91711a147ec843bf8fa3f315df4,
title = "Ionospheric clutter suppression using Wavelet Oblique Projecting Filter",
abstract = "The detection performance of High Frequency Surface Wave Radar (HFSWR) is influenced by the nonstationary ionospheric clutter. For decades, ionospheric clutter suppression is always a challenging problem. Targets and ionospheric clutter have different 2D scale features in Range-Doppler map (RD map) of radar because of different stationarity and range correlation. 2D Discrete Wavelet Transform (2D-DWT) have advantages of separating such nonstationary signals with different 2D scales, so Wavelet Feature Vector (WFV) constructed by 2D-DWT is used to describe this feature in this paper. Based on the nonorthogonality and disjointness of target and clutter subspaces spanned by the WFVs, Wavelet Oblique Projecting Filter (WOPF) method is proposed to suppress the clutter. Experimental results show that this method can suppress clutter and extract targets effectively.",
keywords = "HFSWR, Ionospheric clutter, Oblique projecting filter, Wavelet",
author = "Yuan Su and Yinsheng Wei and Rongqing Xu and Yongtan Liu",
note = "Publisher Copyright: {\textcopyright} 2017 IEEE.; 2017 IEEE Radar Conference, RadarConf 2017 ; Conference date: 08-05-2017 Through 12-05-2017",
year = "2017",
month = jun,
day = "7",
doi = "10.1109/RADAR.2017.7944454",
language = "英语",
series = "2017 IEEE Radar Conference, RadarConf 2017",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "1552--1556",
booktitle = "2017 IEEE Radar Conference, RadarConf 2017",
address = "美国",
}