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An Orthogonal Projection Algorithm to Suppress Interference in High-Frequency Surface Wave Radar

School of Electronic Information and Collaborative Innovation Center for Geospatial Technology, Wuhan University, Wuhan 430072, China
School of Electronic Information, Wuhan University, Wuhan 430072, China
Author to whom correspondence should be addressed.
Remote Sens. 2018, 10(3), 403;
Received: 2 February 2018 / Revised: 1 March 2018 / Accepted: 1 March 2018 / Published: 6 March 2018
(This article belongs to the Special Issue Radar Remote Sensing of Oceans and Coastal Areas)
PDF [5249 KB, uploaded 6 March 2018]


High-frequency surface wave radar (HFSWR) has been widely applied in sea-state monitoring, and its performance is known to suffer from various unwanted interferences and clutters. Radio frequency interference (RFI) from other radiating sources and ionospheric clutter dominate the various types of unwanted signals because the HF band is congested with many users and the ionosphere propagates interference from distant sources. In this paper, various orthogonal projection schemes are summarized, and three new schemes are proposed for interference cancellation. Simulations and field data recorded by experimental multi-frequency HFSWR from Wuhan University are used to evaluate the cancellation performances of these schemes with respect to both RFI and ionospheric clutter. The processing results may provide a guideline for identifying the appropriate orthogonal projection cancellation schemes in various HFSWR applications. View Full-Text
Keywords: HFSWR; RFI; ionospheric clutter; orthogonal projection; interference cancellation HFSWR; RFI; ionospheric clutter; orthogonal projection; interference cancellation

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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).

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Chen, Z.; Xie, F.; Zhao, C.; He, C. An Orthogonal Projection Algorithm to Suppress Interference in High-Frequency Surface Wave Radar. Remote Sens. 2018, 10, 403.

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