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Remote Sens. 2018, 10(1), 104; doi:10.3390/rs10010104

Knowledge-Based Generalized Side-Lobe Canceller for Ionospheric Clutter Suppression in HFSWR

1,2,* and 1,2,*
School of Electronics Information Engineering, Harbin Institute of Technology, 92# West Dazhi Street, Harbin 150001, China
Collaborative Innovation Center of Information Sensing and Understanding at Harbin Institute of Technology, Harbin 150001, China
Authors to whom correspondence should be addressed.
Received: 30 October 2017 / Revised: 18 December 2017 / Accepted: 12 January 2018 / Published: 13 January 2018
(This article belongs to the Special Issue Instruments and Methods for Ocean Observation and Monitoring)
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High frequency surface wave radar (HFSWR) has been successfully developed for early warning and remote sensing. However, the ionospheric clutter is a difficult challenge that can make HFSWR system inefficient. The Generalized Side-lobe Canceller (GSC) has been proved to be an effective algorithm for clutter suppression in theory, but it suffers from the performance degradation for some non-ideal conditions in practice. The most intolerable shortcoming is the signal to noise ratio (SNR) loss caused by the residual signal in the secondary data. In this paper, a knowledge-based GSC (KB-GSC) method has been proposed via an adaptive single notch filter design to reject the residual signal for reducing the SNR loss. The feasibility and availability has been demonstrated by measured data. View Full-Text
Keywords: HFSWR; ionospheric clutter; GSC; knowledge based HFSWR; ionospheric clutter; GSC; knowledge based

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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Zhang, X.; Yao, D.; Yang, Q.; Dong, Y.; Deng, W. Knowledge-Based Generalized Side-Lobe Canceller for Ionospheric Clutter Suppression in HFSWR. Remote Sens. 2018, 10, 104.

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