Results 21 to 30 of about 22,219,028 (112)

The Vertical Ionosphere Parameters Inversion for High Frequency Surface Wave Radar [PDF]

International Journal of Antennas and Propagation, 2016
High Frequency Surface Wave Radar (HFSWR), which is currently applied in over-the-horizon detection of targets and sea states remote sensing, can receive a huge mass of ionospheric echoes, making it possible for the ionospheric clutter suppression to ...
Xuguang Yang, Changjun Yu, Aijun Liu, Linwei Wang, Taifan Quan   +4 more
doaj   +2 more sources

Simultaneous Altitude and RCS Estimation with Propagation Attenuation in Bistatic HFSWR

International Journal of Antennas and Propagation, 2013
High frequency surface wave radar (HFSWR) is traditionally unable to detect target altitude information. To simultaneously estimate the target altitude and radar cross-sections (RCS) with bistatic HFSWR, a novel estimation model is proposed with the ...
Zhao Kongrui, Yu Changjun, Zhou Gongjian, Quan Taifan   +3 more
doaj   +2 more sources

Modified Multi-Mode Target Tracker for High-Frequency Surface Wave Radar

Remote Sensing, 2018
In high-frequency surface wave radar (HFSWR), part of the radiation signal inevitably propagates upward and illuminates the target through the ionosphere due to the poor controllability of the antenna’s vertical pattern.
Mengxiao Zhao, Xin Zhang, Qiang Yang
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

Extraction of Significant Wave Height from Spreading First-Order Bragg Peaks of Shipborne High-Frequency Surface Wave Radar with a Single Antenna

Remote Sensing
Shipborne high-frequency surface wave radar (HFSWR) can extend the measurement area due to the flexible movement of the platform and provide a new way to monitor large-area marine environment parameters.
Xinbo Zhang, Junhao Xie, Guowei Yao, Chenghui Cao   +3 more
doaj   +2 more sources

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, He KN, Wang ZB, Yang T, Liu M, Li X.   +5 more
europepmc   +2 more sources

Signal Processing Methods to Improve Ocean Surface Wave Estimation from a High Frequency Surface Wave Radar [PDF]

, 2011
High frequency surface wave radars are operated as a remote sensor to measure ocean surface parameters to ranges exceeding 200-300 km from the coastline.
Wang, Wei
core   +6 more sources

Spectral analysis in high frequency radar oceanography [PDF]

, 2006
High Frequency radar systems provide a unique opportunity to measure evolving littoral oceanic dynamics at high temporal and spatial resolution. Backscattered electromagnetic signals from ocean waves are modulated by Bragg resonant scattering.
Middleditch, Andrew
core   +6 more sources

Extraction of the significant wave height from synthetic HF radar data acquired on a floating platform

IET Radar, Sonar &Navigation, Volume 17, Issue 11, Page 1639-1645, November 2023., 2023
The authors proposes a new real‐time method to estimate the significant wave height directly from the antenna's received electric field in the time‐domain without requiring prior knowledge of the motion parameters or performing motion compensation. The results from this simple proposed technique show that it may be used to estimate the significant wave
Sepideh Hashemi, Reza Shahidi, Eric W. Gill   +2 more
wiley   +1 more source

TDOA positioning accuracy analysis based on time difference direction‐finding in distributed high‐frequency surface wave radar

IET Radar, Sonar &Navigation, Volume 17, Issue 10, Page 1498-1506, October 2023., 2023
Based on the time difference direction‐finding algorithm, new mathematical expressions of geometric dilution of precision (GDOP) are presented in Time Difference of Arrival positioning systems in this paper. The time difference direction‐finding reveals that the angle measurements are accurate for any length of baseline.
Yang Bai, Xin Zhang, Weibo Deng, Mengxiao Zhao   +3 more
wiley   +1 more source