@inproceedings{e19b598b0ab740b4a755a8cd8af1adbe,
title = "A Cooperative Dictionary Learning and Semi-supervised Learning Framework for Sea Clutter Suppression of HFSWR",
abstract = "High-frequency surface-wave radar (HFSWR) has been applied in searching targets and maritime surveillance systems. However, the sea clutter is usually strong and harmful for detecting the targets. In this paper, we explore the sea clutter suppression problem for HFSWR and propose a novel sea clutter suppression method named a cooperative dictionary learning and semi-supervised learning sea clutter suppression framework (CDLSL). The semi-supervised learning can obtain abundant needed sea clutter data for the subsequent dictionary learning. The dictionary learning has ability to capture the features of sea echo and provides a desired clutter estimation. We have applied the proposed framework in the actual HFSWR data. Significant improvements in sea clutter suppression performance are achieved by the proposed method with respect to the state-of-the-art method.",
keywords = "Dictionary learning, High-frequency surface-wave radar, Sea clutter suppression, Semi-supervised learning",
author = "Xiaowei Ji and Qiang Yang and Xiaochuan Wu and Xin Zhang",
note = "Publisher Copyright: {\textcopyright} 2022, ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering.; 12th International Conference on Wireless and Satellite Services, WiSATS 2021 ; Conference date: 31-07-2021 Through 02-08-2021",
year = "2022",
doi = "10.1007/978-3-030-93398-2\_53",
language = "英语",
isbn = "9783030933975",
series = "Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST",
publisher = "Springer Science and Business Media Deutschland GmbH",
pages = "593--606",
editor = "Qing Guo and Weixiao Meng and Min Jia and Xue Wang",
booktitle = "Wireless and Satellite Systems - 12th EAI International Conference, WiSATS 2021, Proceedings",
address = "德国",
}