Results 11 to 20 of about 218 (135)

Combination of the biologically inspired coupled system and high‐frequency surface wave radar at signal level

IET Radar, Sonar & Navigation
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, Aijun Liu, Qiang Yang, Changjun Yu, Zhe Lyv   +4 more
doaj   +2 more sources

Overview of ionosphere clutter suppression for high frequency surface wave radar (HFSWR) system: Observation, approaches, challenges and open issue

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, Xiaochuan Wu, Qiang Yang, Xin Zhang   +3 more
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, Qiang Yang, Qiushi Chen, Weibo Deng   +3 more
doaj   +2 more sources

Maritime over the Horizon Sensor Integration: High Frequency Surface-Wave-Radar and Automatic Identification System Data Integration Algorithm [PDF]

Sensors, 2018
To obtain the complete operational picture of the maritime situation in the Exclusive Economic Zone (EEZ) which lies over the horizon (OTH) requires the integration of data obtained from various sensors. These sensors include: high frequency surface-wave-
Dejan Nikolic, Nikola Stojkovic, Nikola Lekic   +2 more
doaj   +2 more sources

Continuous Tracking of Targets for Stereoscopic HFSWR Based on IMM Filtering Combined with ELM

Remote Sensing, 2020
High frequency surface wave radar (HFSWR) plays an important role in marine surveillance on account of its ability to provide wide-range early warning detection.
Ling Zhang, Yonggang Ji, Jiong Niu
exaly   +3 more sources

Research on Fast Deployment Algorithm for Ocean Environment Monitoring Based on Ship‐Borne High‐Frequency Surface Wave Radar

IET Radar, Sonar & Navigation
Marine environmental pollution, particularly from oil spills, has garnered significant attention due to its irreversible damage to marine ecosystems. Ship‐borne high‐frequency surface wave radar (HFSWR) holds promise for long‐distance, wide‐area marine ...
Mengxuan Ma, Xiaochuan Wu, Weibo Deng, Xin Zhang   +3 more
doaj   +2 more sources

Multi‐target pair‐matching method based on angle information in transmit/receive‐receive synergetic High Frequency Surface Wave Radar

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, Xiaochuan Wu, Weibo Deng, Xin Zhang   +3 more
doaj   +2 more sources

A Motion Compensation Method for Shipborne HFSWR by Using Dual Reference RF Signals Generated Onshore

Remote Sensing, 2022
The echo of shipborne high-frequency surface wave radar (HFSWR) is modulated by six-degrees-of-freedom (6-DOF) motion, affecting the detection of the target and the remote sensing of ocean surface dynamics parameters.
, Ling Zhang, Yonggang Ji
exaly   +3 more sources

Typhoon Early Warning and Monitoring Based on the Comprehensive Characteristics of Oceanic and Ionospheric Echoes from HFSWR: The Case of Typhoon Muifa

Remote Sensing
As devastating natural disasters, typhoons pose a tremendous threat to human society, making effective typhoon early warning and monitoring crucial.
Yonggang Ji, Ruozhao Qu
exaly   +3 more sources

3-D Moving Target Localization in Multistatic HFSWR: Efficient Algorithm and Performance Analysis

Remote Sensing
High-frequency surface wave radar (HFSWR) is unable to measure the target’s altitude information due to its limited antenna aperture in the elevation dimension.
Yunlong Wang, Jun Geng, Yijia Guo
exaly   +3 more sources