Results 11 to 20 of about 64 (58)
IET Radar, Sonar &Navigation, Volume 16, Issue 7, Page 1188-1197, July 2022., 2022 Abstract In the past few decades, the target location methods in transmit/receive‐receive (T/R‐R) synergetic High Frequency Surface Wave Radar (HFSWR) have received extensive attention from the signal processing community. However, there are few studies on the method of parameter pair‐matching for multi‐target scene.
Yang Bai +3 more
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Impacts of Auroral Precipitation on HF Propagation: A Hypothetical Over‐the‐Horizon Radar Case Study
Space Weather, Volume 19, Issue 12, December 2021., 2021 Abstract Over‐the‐horizon radar (OTHR) systems operating in the high‐frequency (HF) band (3–30 MHz) are unique in their ability to detect targets at extreme ranges, offering cost‐effective large‐area surveillance. Due to their reliance on the reflective nature of the ionosphere in this band, OTHR systems are extremely sensitive to ionospheric ...
Joshua J. Ruck, David R. Themens
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High frequency surface wave radar (HFSWR) simulator [PDF]
, 2019 MASTER OF ENGINEERING (EEE)
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Canadian Journal of Remote Sensing, 2001 RESUMELa Convention des Nations Unies sur la Loi de la Mer (CNULM) accorde la souverainete sur une zone de 200 milles nautiques (mn) en mer designee sous l'appellation de Zone economique exclusive (ZEE). En contrepartie, les nations doivent etablir et assurer la gestion, l'application de la loi et la protection de l'environnement dans cette nouvelle ...
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Time Synchronisation for Passive Bistatic HFSWR via Kalman‐Filtered Delay‐Locked Loop
IET Radar, Sonar &Navigation, Volume 20, Issue 1, January/December 2026.This paper proposes a per‐chirp time synchronisation method, FLOS‐Kalman‐DLL, for passive bistatic high‐frequency surface wave radar (HFSWR) operating under the coexistence of clock drift and atmospheric impulsive noise. The method combines fractional lower‐order statistics with a Kalman‐filtered delay‐locked loop to achieve sub‐sample synchronisation ...
Yuan Lu, Jie Song, Wei Xiong, Yaqi Cui
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IET Radar, Sonar &Navigation, Volume 19, Issue 1, January/December 2025.Our method introduces a minimum resource parameter model and leverages a grid search algorithm integrated with a dual‐base spatial coverage model to identify the optimal deployment configuration. The results demonstrate that our approach significantly reduces computational time while maintaining high coverage accuracy, making it suitable for real‐time ...
Mengxuan Ma +3 more
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Application of joint domain localised matrix CFAR detector for HFSWR
The Journal of Engineering, Volume 2019, Issue 21, Page 8134-8137, November 2019., 2019 Target detection is one of the most important parts of high‐frequency surface wave radar (HFSWR) signal processing, to find targets in noise or clutter and obtain targets’ information. However, some factors, such as the influence of clutter and the increase of detection range, will degrade the signal‐to‐clutter ratio (SCR). In the low SCR scenario, the
Lei Ye +3 more
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Deghosting method for cross localization in distributed high frequency surface wave radar
The Journal of Engineering, Volume 2024, Issue 11, November 2024.To address the ghosts emerging during the cross localization in a novel distributed high frequency surface wave system, a multi‐stage deghosting method is utilized, which is based on the geometric characteristics, the velocity features, and the motion features of the targets across multiple frames.
Na Cui, Xuekun Chen, Changjun Yu
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DOA estimation with extended sparse and parametric approach in multi‐carrier MIMO HFSWR
The Journal of Engineering, Volume 2019, Issue 21, Page 7810-7814, November 2019., 2019 To obtain a higher angle resolution of multiple‐in multiple‐out high‐frequency surface wave radar (MIMO HFSWR) for direction of arrival (DOA) estimation with a limited number of antenna sensors, multiple working frequencies are proposed to enlarge the aperture of the virtual array of the MIMO HFSWR.
Aihua Liu +3 more
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IET Radar, Sonar &Navigation, Volume 18, Issue 10, Page 1599-1614, October 2024.To indeed apply the biologically inspired coupled (BIC) system to high‐frequency surface wave radar (HFSWR), two detailed methods, namely fast‐time domain (FTD)‐BIC and slow‐time domain (STD)‐BIC, which combine the BIC and HFSWR at signal level are proposed.
Hongbo Li +4 more
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