Results 1 to 10 of about 218 (135)

Vessel Tracking Using Bistatic Compact HFSWR [PDF]

open access: yesRemote Sensing, 2020
Bistatic and multi-static high-frequency surface wave radar (HFSWR) is becoming a prospective development trend for sea surface surveillance due to its potential in extending the coverage area, improving the detection accuracy, etc.
Weifeng Sun   +2 more
exaly   +4 more sources

Ship Monitoring With Bistatic Compact HFSWR of Small Aperture [PDF]

open access: yesIEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2022
High-frequency surface wave radar (HFSWR) can detect and continuously track ship targets in real time and beyond the horizon. Compared with transmit/receive (T/R) monostatic HFSWR, the T-R bistatic HFSWR has the advantages of flexibility ...
Ruifu Wang, Weifeng Sun, Yonggang Ji
exaly   +4 more sources

An RD-Domain Virtual Aperture Extension Method for Shipborne HFSWR

open access: yesRemote Sensing
High-frequency surface wave radar (HFSWR) is widely used for detecting sea surface or low-altitude targets due to its all-weather operation and over-the-horizon detection capability.
Yuguan Hou, Xingpeng Mao, Youmin Qu
exaly   +4 more sources

Sea Clutter Suppression Method of HFSWR Based on RBF Neural Network Model Optimized by Improved GWO Algorithm. [PDF]

open access: yesComput Intell Neurosci, 2020
The detection performance of high‐frequency surface‐wave radar (HFSWR) is closely related to the suppression effect of sea clutter. To effectively suppress sea clutter, a sea clutter suppression method based on radial basis function neural network (RBFNN) optimized by improved gray wolf optimization (IGWO) algorithm is proposed.
Shang S   +5 more
europepmc   +2 more sources

A Single-Dataset-Based Pre-Processing Joint Domain Localized Algorithm for Clutter-Suppression in Shipborne High-Frequency Surface-Wave Radar [PDF]

open access: yesSensors, 2020
Due to the motion of the platform, the spectrum of first-order sea clutter will widen and mask low-velocity targets such as ships in shipborne high-frequency surface-wave radar (HFSWR).
Liang Guo   +5 more
doaj   +2 more sources

A Performance Evaluation Scheme for Multiple Object Tracking with HFSWR. [PDF]

open access: yesSensors (Basel), 2019
High-frequency surface wave radar (HFSWR) can detect and continuously track ship objects in real time and beyond the horizon. When ships navigate in a sea area, their motions in a time period form a scenario. The diversity and complexity of the motion scenarios make it difficult to accurately track ships, in which failures such as track fragmentation ...
Wang K   +5 more
europepmc   +5 more sources

Space‐time adaptive processing algorithm based on hyper beamforming for ionospheric clutter suppression in small‐array high‐frequency surface wave radar

open access: yesIET Radar, Sonar & Navigation, 2023
Small‐array high‐frequency surface wave radar (HFSWR) is widely used to monitor maritime targets as it can be used to save on‐land resources. In small‐array HFSWR systems, the main lobe of the receiving angle spectrum is significantly broadened.
Jiaming Li, Qiang Yang, Xin Zhang
doaj   +2 more sources

A MIMO FMCW radar approach to HFSWR [PDF]

open access: yesAdvances in Radio Science, 2011
In this paper we propose one possible approach how to apply the concept of multiple-input multiple-output (MIMO) to monostatic Frequency Modulated Continuous Wave (FMCW) High-Frequency Surface Wave Radar (HFSWR) in a maritime environment.
J. O. Hinz, U. Zölzer
doaj   +3 more sources

Shipborne HFSWR Target Detection in Clutter Regions Based on Multi-Frame TFI Correlation

open access: yesRemote Sensing, 2022
High-frequency surface wave radar (HFSWR) is an important marine monitoring technology, and this new regime of radar plays an important role in large-scale, continuous early-warning monitoring at sea. In particular, shipborne HFSWR has wider applications
Tao Wang, Ling Zhang, Gangsheng Li
exaly   +3 more sources

A CFAR‐like detector based on neural network for simulated high‐frequency surface wave radar data

open access: yesIET Radar, Sonar & Navigation, 2023
This article presents a deep neural network‐based constant false alarm rate (NNB‐CFAR) detector for simulated high‐frequency surface wave radar (HFSWR) data.
Rômulo Fernandes daCosta   +3 more
doaj   +2 more sources

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