Results 11 to 20 of about 160 (97)

Space‐time adaptive processing algorithm based on hyper beamforming for ionospheric clutter suppression in small‐array high‐frequency surface wave radar

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

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

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

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

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

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

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

A novel sea clutter suppression method based on SVD‐FRFT at low signal‐to‐clutter ratio

Electronics Letters, Volume 59, Issue 14, July 2023., 2023
The target and sea clutter Doppler domains frequently overlap due to the frequent passage of slow ship targets through the sea clutter zone. In this letter, a novel sea clutter suppression method is suggested as a solution to this issue, whose key is a novel singular value zeroing criterion guided by the search results of two‐dimensional spectral peaks.
Qingyun Cheng, Xiaochuan Wu, Xin Zhang, Qiang Yang   +3 more
wiley   +1 more source

A CFAR‐like detector based on neural network for simulated high‐frequency surface wave radar data

IET Radar, Sonar &Navigation, Volume 17, Issue 5, Page 859-875, May 2023., 2023
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, Diego da Silva de Medeiros, Osamu Saotome, Renato Machado   +3 more
wiley   +1 more source