Results 21 to 30 of about 222 (138)

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, Qing Ming Jonathan Wu   +2 more
exaly   +3 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, Diego daSilva de Medeiros, Osamu Saotome, Renato Machado   +3 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

Space-Time Adaptive Processing Clutter Suppression Algorithm Based on Spatiotemporal Stationarity of Ionospheric Clutter in HFSWR

International Journal of Antennas and Propagation
In high-frequency surface wave radar (HFSWR) systems, ionospheric clutter is a common phenomenon that often causes targets to be submerged. Space-time adaptive processing (STAP) is a classical adaptive filtering algorithm.
Ruilong Ren, Weibo Deng, Fulin Su, Xin Zhang   +3 more
doaj   +2 more sources

An RD-Domain Virtual Aperture Extension Method for Shipborne HFSWR

Remote 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   +3 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

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

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
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

High-Resolution Doppler and Azimuth Estimation and Target Detection in HFSWR: Experimental Study [PDF]

Sensors, 2022
Nenad Vukmirović, Miljko Eric, Dragan Golubovic   +2 more
exaly   +2 more sources