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Valid hydrodynamic interaction regions of multiple ships advancing in waves 被引量:3
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作者 许勇 董文才 《Journal of Hydrodynamics》 SCIE EI CSCD 2013年第6期856-866,共11页
Based on the 3-D surface panel method combined with the translating-pulsating source Green function, an approximate approach is developed to solve the hydrodynamic interacting problem of multiple ships advancing paral... Based on the 3-D surface panel method combined with the translating-pulsating source Green function, an approximate approach is developed to solve the hydrodynamic interacting problem of multiple ships advancing parallel in waves. Focus is on improving the calculating efficiency. In this approach, each ship is assumed to be in each other's far-field, and the near-field term in this Green function is neglected if the source point falls on one ship and the field point on others. Further, a matching relationship between the far-field waves and the interfered regions, which are defined as the overlapping areas between the mean wetted body surface of one ship and the propagating regions of the waves generated by another ship, is introduced to avoid the unnecessary computation of the relative terms of the Green function, if the field point is not in the overlapping areas. The approach is validated through studying the hydrodynamic terms and the free motions of two or three ships in side-by-side arrangement by comparing the obtained results with the model tests and the predictions of the exact method. The average calculating speed for the present approximate method is about 1.65-1.8 times of that for the exact method for solving the hydrodynamic interaction problem of two ships, and 2.56-2.73 times for that of three ships. 展开更多
关键词 wave pattern translating-pulsating source calculation efficiency model test multiple ships
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Imaging algorithm of multi-ship motion target based on compressed sensing 被引量:2
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作者 Lin Zhang Yicheng Jiang 《Journal of Systems Engineering and Electronics》 SCIE EI CSCD 2016年第4期790-796,共7页
An imaging algorithm based on compressed sensing(CS) for the multi-ship motion target is presented. In order to reduce the quantity of data transmission in searching the ships on a large sea area, both range and azi... An imaging algorithm based on compressed sensing(CS) for the multi-ship motion target is presented. In order to reduce the quantity of data transmission in searching the ships on a large sea area, both range and azimuth of the moving ship targets are converted into sparse representation under certain signal basis. The signal reconstruction algorithm based on CS at a distant calculation station, and the Keystone and fractional Fourier transform(FRFT) algorithm are used to compensate range migration and obtain Doppler frequency. When the sea ships satisfy the sparsity, the algorithm can obtain higher resolution in both range and azimuth than the conventional imaging algorithm. Some simulations are performed to verify the reliability and stability. 展开更多
关键词 synthetic aperture radar(SAR) compressed sensing(CS) multiple ships moving target sparse reconstruction
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