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| Optimization Analysis Method on Ship RCS Based on Sea Conditions and Cubic Spline Interpolation Algorithm |
| YAN Wei①② GENG Lu① ZHOU Lei③ ZHAO Yang① WANG Enrong① ZHU Da① |
①(School of Electrical and Automation Engineering, Nanjing Normal University, Nanjing 210042, China)
②(Small and Medium UAV Advanced Technology Key Laboratory(Nanjing University of Aeronautics & Astronautics), Nanjing 210016, China)
③(Jiangsu Institute of Metrology, Nanjing 210007, China) |
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Abstract The sea under different wave levels has an strong impact on the ship target Radar Cross Section (RCS) analysis. The far-field single-station RCS analysis model is established for the ship under different sea conditions based on the Physical Optics with Method Of Moments (PO-MOM) hybrid algorithm. Then the impact of sea conditions on ship RCS results is studied. The ship RCS results are reduced with the sea wave level increasing. Finally, an optimization ship RCS compensation method is proposed under different sea conditions based on Cubic Spline Interpolation (CSI) algorithm. The results show that the average value error and maximum value error of ship RCS results are less than 0.38 dBsm and 0.05 dBsm, respectively by employing the proposed method, which can reduce the influence of sea conditions on ship RCS analysis effectively.
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Received: 09 June 2017
Published: 12 December 2017
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| Fund:The National Natural Science Foundation of China (51475246), The Natural Science Foundation of Jiangsu Province (BK20161019, BK20131032), The University Science Research Project of Jiangsu Province (15KJB470011) |
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Corresponding Authors:
YAN Wei
E-mail: 61197@njnu.edu.cn
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