Wind Turbine Clutter Suppression for Weather Radar Using Improved Ridge Regression Approach

Author(s):  
Yv Ji ◽  
Xu Yao ◽  
Xiaodong Wang ◽  
Mingwei Shen
2021 ◽  
Vol 34 (1) ◽  
pp. 121-127
Author(s):  
Banti Kumar ◽  
Manish Sharma ◽  
Anil Bhat ◽  
Pawan Kumar

Author(s):  
Wei-kun He ◽  
Chao-di Ji ◽  
Zhen-fei Huo ◽  
Xiao-liang Wang ◽  
Ren-biao Wu
Keyword(s):  

2016 ◽  
Vol 54 (5) ◽  
pp. 2925-2934 ◽  
Author(s):  
Faruk Uysal ◽  
Ivan Selesnick ◽  
Bradley M. Isom

2021 ◽  
Vol 2021 ◽  
pp. 1-10
Author(s):  
Minghe Mao ◽  
Tianhe Li ◽  
Mingwei Shen ◽  
Ning Cao ◽  
Rui Shi ◽  
...  

The conventional matrix completion (MC) regularizes each singular value equally, and thus the rank cannot be well approximated, which greatly limits the flexibility and accuracy of MC usage. In this paper, a truncated MC algorithm using prior information to determine the threshold while generating the target rank is proposed for the wind turbine clutter suppression of weather radar. During the singular value shrinking process, an appropriate threshold is selected to obtain the optimal approximation of the sampling matrix. Specifically, the mean value of the diagonal element in the recovered weather matrix is calculated to improve the robustness of the recovery result effectively. Simulation results demonstrate that the proposed algorithm reduces the computational complexity as well as further improves the MC accuracy and realizes the effective suppression of the wind turbine clutter.


2013 ◽  
Vol 33 (9) ◽  
pp. 0906011
Author(s):  
阮秀凯 Ruan Xiukai ◽  
张耀举 Zhang Yaoju ◽  
谈燕花 Tan Yanhua ◽  
吴平 Wu Ping

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