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Chin. Phys. B, 2014, Vol. 23(10): 108402    DOI: 10.1088/1674-1056/23/10/108402
INTERDISCIPLINARY PHYSICS AND RELATED AREAS OF SCIENCE AND TECHNOLOGY Prev   Next  

Modified GIT model for predicting wind-speed behavior of low-grazing-angle radar sea clutter

Zhang Yu-Shi (张玉石)a, Zhang Jin-Peng (张金鹏)b, Li Xin (黎鑫)b, Wu Zhen-Sen (吴振森)a
a School of Physics and Optoelectronic Engineering, Xidian University, Xi'an 710071, China;
b China Research Institute of Radiowave Propagation, Qingdao 266107, China
Abstract  A modified GIT model for describing the variational trend of mean clutter reflectivity as a function of wind speed is proposed. It uses two slope adjustment factors and two critical wind-speed factors to define and adjust the increasing slope of reflectivity with respect to wind speed. In addition, it uses a constant factor to compensate the overall amplitude of clutter reflectivity. The performance of the modified GIT model has been verified on the basis of the L-band low-grazing-angle radar sea clutter data. The results are in good agreement with the experimental data, indicating that the model is more effective in predicting the wind-speed behavior of clutter reflectivity than the conventional GIT model, especially for lower and higher wind speeds. We believe that the proposed model can provide deeper insights into the relationship between radar sea clutter reflectivity and sea state conditions.
Keywords:  GIT model      low grazing angle      radar sea clutter  
Received:  25 April 2014      Revised:  26 May 2014      Accepted manuscript online: 
PACS:  84.40.Xb (Telemetry: remote control, remote sensing; radar)  
  07.50.Qx (Signal processing electronics)  
  02.50.Ey (Stochastic processes)  
Fund: Project supported by the National Natural Science Foundation of China (Grant No. 61172031).
Corresponding Authors:  Zhang Yu-Shi     E-mail:  zhang10695@126.com
About author:  84.40.Xb; 07.50.Qx; 02.50.Ey

Cite this article: 

Zhang Yu-Shi (张玉石), Zhang Jin-Peng (张金鹏), Li Xin (黎鑫), Wu Zhen-Sen (吴振森) Modified GIT model for predicting wind-speed behavior of low-grazing-angle radar sea clutter 2014 Chin. Phys. B 23 108402

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