Results 11 to 20 of about 287 (119)
Virtual 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
doaj +3 more sources
Stationary Time Statistical Property of Ionospheric Clutter in High-Frequency Surface-Wave Radar
In HFSWR (high-frequency surface-wave radar) system, the detection performance is impacted seriously by ionospheric clutter. Frequency selection is an effective method to avoid the effect of ionospheric clutter.
Shang Shang +3 more
doaj +2 more sources
MIMO High Frequency Surface Wave Radar Using Sparse Frequency FMCW Signals [PDF]
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
doaj +2 more sources
An Orthogonal Projection Algorithm to Suppress Interference in High-Frequency Surface Wave Radar
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.
Zezong Chen, Fei Xie, Chen Zhao, Chao He
doaj +2 more sources
A high-frequency surface wave radar (HFSWR) is the only sensor that provides inexpensive surveillance for up to 200 nautical miles (NM) of the exclusive economic zone in the 3–5 MHz band. However, because of its long wavelength, its angular resolution is
Eunhee Kim +4 more
doaj +2 more sources
High frequency surface wave radar (HFSWR) simulator [PDF]
MASTER OF ENGINEERING (EEE)
Teo, Mia Koon
openaire +3 more sources
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 CFAR‐like detector based on neural network for simulated high‐frequency surface wave radar data
This article presents a deep neural network‐based constant false alarm rate detector for high‐frequency surface wave radar. A deep neural network is trained to identify fluctuation parameters of each cell of a range‐Doppler power spectrum based on the patterns present in the neighbouring cells.
Rômulo Fernandes da Costa +3 more
wiley +2 more sources
The amplitude and phase errors in array elements lead to uncertainties in the estimation of arrival angles (DOA), which, in turn, affect the accuracy of current measurements for high-frequency surface wave radar (HFSWR). To address this issue, this paper
Wei Fu +5 more
doaj +2 more sources
Coast–Ship Bistatic HF Surface Wave Radar: Simulation Analysis and Experimental Verification
The coast−ship bistatic high-frequency surface wave radar (HFSWR) not only has the anti-interference advantages of the coast-based bistatic HFSWR, but also has the advantages of maneuverability and an extended detection area of the shipborne HFSWR.
Yonggang Ji +8 more
doaj +2 more sources

