Results 11 to 20 of about 463 (152)
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
doaj +3 more sources
Deep Learning-Based Automatic Clutter/Interference Detection for HFSWR
Remote Sensing, 2018 High-frequency surface wave radar (HFSWR) plays an important role in wide area monitoring of the marine target and the sea state. However, the detection ability of HFSWR is severely limited by the strong clutter and the interference, which are difficult ...
Ling Zhang +2 more
exaly +4 more sources
First-Order Ocean Surface Cross Section for Shipborne Bistatic HFSWR: Derivation and Simulation
Journal of Marine Science and Engineering, 2022 A bistatic high-frequency surface wave radar (HFSWR) with both receiving and transmitting stations placed on different ships (platforms) is a new radar system and referred to as shipborne bistatic HFSWR.
Yonggang Ji +6 more
doaj +2 more sources
APO-ELM Model for Improving Azimuth Correction of Shipborne HFSWR
Remote Sensing, 2023 Shipborne high-frequency surface wave radar (HFSWR) has a wide range of applications and plays an important role in moving target detection and tracking.
Yaning Wang +3 more
doaj +2 more sources
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
doaj +2 more sources
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
doaj +2 more sources
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
doaj +2 more sources
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
doaj +2 more sources
3-D Moving Target Localization in Multistatic HFSWR: Efficient Algorithm and Performance Analysis
Remote SensingHigh-frequency surface wave radar (HFSWR) is unable to measure the target’s altitude information due to its limited antenna aperture in the elevation dimension.
Xun Zhang +3 more
doaj +2 more sources
Remote Sensing, 2021 For shipborne high-frequency surface wave radar (HFSWR), the movement of the ship has a great impact on the radar echo, thus affecting target detection performance.
Yonggang Ji +6 more
doaj +2 more sources