Optimization Analysis Method on Ship RCS Based on Sea Conditions and Cubic Spline Interpolation Algorithm

YAN Wei; GENG Lu; ZHOU Lei; ZHAO Yang; WANG Enrong; ZHU Da

doi:10.11999/JEIT170562

Volume 40 Issue 3

Mar. 2018

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Article Navigation > Journal of Electronics & Information Technology > 2018 > 40(3): 579-586

YAN Wei, GENG Lu, ZHOU Lei, ZHAO Yang, WANG Enrong, ZHU Da. Optimization Analysis Method on Ship RCS Based on Sea Conditions and Cubic Spline Interpolation Algorithm[J]. Journal of Electronics & Information Technology, 2018, 40(3): 579-586. doi: 10.11999/JEIT170562

Citation:

YAN Wei, GENG Lu, ZHOU Lei, ZHAO Yang, WANG Enrong, ZHU Da. Optimization Analysis Method on Ship RCS Based on Sea Conditions and Cubic Spline Interpolation Algorithm[J]. Journal of Electronics & Information Technology, 2018, 40(3): 579-586. doi: 10.11999/JEIT170562

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Optimization Analysis Method on Ship RCS Based on Sea Conditions and Cubic Spline Interpolation Algorithm

doi: 10.11999/JEIT170562

1.
2.
(School of Electrical and Automation Engineering, Nanjing Normal University, Nanjing 210042, China)

Funds:

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)

Received Date: 2017-06-09
Rev Recd Date: 2017-11-03
Publish Date: 2018-03-19

Abstract

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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References(24)

References

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