NDLI: Main-lobe clutter suppression algorithm based on rotating beam method and optimal sample selection for small-aperture HFSWR

Content Provider	IET Digital Library
Author	Yao, Di Deng, Weibo Zhang, Xin Yang, Qiang Zhang, Jiazhi Li, Jiaming
Abstract	When the azimuths of clutter and targets are in the same beam bin, the clutter is called main-lobe clutter of the corresponding targets. In small-aperture high-frequency surface wave radar (HFSWR) systems, the angle spectrum of main-lobe clutter suffers from severe broadening under the influence of the smaller array aperture, which can affect the detection performance of moving vessels. This situation occurs because the target vessels are more easily submerged in this broadened angle spectrum and can hardly be detected. In this study, a novel two-dimensional cascaded algorithm for main-lobe clutter that is based on combining an adaptive selection strategy for the optimal training samples and the rotating spatial beam method is proposed to suppress the clutter in both the angle domain and range domain. First, the correlation between training samples is analysed with the angle-Doppler joint eigenvector method. Then, the samples that are similar to the cell under test serve as training samples. Finally, the secondary beams that have Euclidean distances closest to the main beam are chosen. The experimental results of simulation and measured data confirm that the proposed approach provides far superior suppression performance and has strong robustness against array amplitude-phase errors and beam deviation.
Starting Page	1162
Ending Page	1170
Page Count	9
ISSN	17518784
Volume Number	13
e-ISSN	17518792
Issue Number	Issue 7, Jul (2019)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-rsn/13/7
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-rsn.2018.5441
Journal	IET Radar, Sonar & Navigation
Publisher Date	2019-03-22
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	Airborne Radar Angle Domain Angle-Doppler Joint Eigenvector Method Beam Bin Broadened Angle Spectrum Eigen Values And Eigen Function Electromagnetic Compatibility High-frequency Surface Wave Radar System Interference Interference Suppression Main Beam Main-lobe Clutter Suppression Algorithm Object Detection Optical, Image And Video Signal Processing Optimal Sample Selection Optimal Training Sample Radar Clutter Radar Detection Radar Equipment Radar Signal Processing Range Domain Rotating Spatial Beam Method Signal Processing And Detection Small-aperture HFSWR Smaller Array Aperture System And Application Target Vessels
Content Type	Text
Resource Type	Article
Subject	Electrical and Electronic Engineering

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