Results 11 to 20 of about 678 (183)
IET 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
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A MIMO FMCW radar approach to HFSWR [PDF]
Advances 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
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Application of joint domain localised matrix CFAR detector for HFSWR
The Journal of Engineering, 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.
Lei Ye +3 more
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IET Radar, Sonar & NavigationVirtual aperture extension of small aperture array has attracted wide attention in high‐frequency surface wave radar (HFSWR). A biologically inspired coupled (BIC) system is employed to virtually extend the array aperture.
Hongbo Li +4 more
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A CFAR‐like detector based on neural network for simulated high‐frequency surface wave radar data
IET 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
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IET Radar, Sonar & Navigation, 2023 A great interest has been directed towards high frequency surface wave radar (HFSWR), because it is applied as long‐range early warning and real‐time measurements of sea surface condition tools in maritime surveillance.
Xiaowei Ji +3 more
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IET Radar, Sonar & Navigation, 2022 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.
Yang Bai +3 more
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Sea Clutter Suppression Method of HFSWR Based on RBF Neural Network Model Optimized by Improved GWO Algorithm. [PDF]
Comput 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
MIMO High Frequency Surface Wave Radar Using Sparse Frequency FMCW Signals [PDF]
International Journal of Antennas and Propagation, 2017 The heavily congested radio frequency environment severely limits the signal bandwidth of the high frequency surface wave radar (HFSWR). Based on the concept of multiple-input multiple-output (MIMO) radar, we propose a MIMO sparse frequency HFSWR system ...
Mengguan Pan, Baixiao Chen
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A Performance Evaluation Scheme for Multiple Object Tracking with HFSWR. [PDF]
Sensors (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