物理学报2017，Vol.66Issue(5)：14-22,9.DOI:10.7498/aps.66.050301
粗糙海面与其上方多目标复合散射的混合算法
Hybrid algorithm for composite electromagnetic scattering from the multi-target on and above rough sea surface
摘要
Abstract
In the study of electromagnetic scattering of multi-target composite on and above the rough sea surface, the common algorithm such as the method of moment analyzes the relationship between the target and the rough sea surface point by point, so the common algorithm usually requires massive computation and a lot of time. In this paper, the rough sea surface is described by Pierson-Moscowitz (PM) spectrum and Monte Carlo method, and the composite electromagnetic scattering from multiple conductor flying targets above the rough sea surface is investigated by using the hybrid algorithm-the method of moment in the Kirchhoff approximation. The composite scattering region is divided into target region and rough sea surface region. The target region and the rough sea surface region are investigated by using the method of moment, and the Kirchhoff approximation, respectively. The formulas of the hybrid algorithm in different polarizations are derived in detail, and the scattering coeffifficients in different incident angles, target heights, target sizes, target distances and wind velocities are calculated in detail. The characteristics of the composite scattering coefficient from the multiple conductor flying target above the rough sea surface are also obtained. Results show that the hybrid algorithm, i. e., the combination of method of moment and the Kirchhoff approximation, can obtain higher accuracy, and reduce the computation time efficiently. The computation time used by the hybrid algorithm is 19% of that by using the method of moment. Moreover, the performance becomes more favorable with the increase of size of rough sea surface.关键词
多目标/复合散射/混合算法/粗糙海面Key words
multi-target/composite scattering/hybrid algorithm/rough sea surface引用本文复制引用
李冰,马萌晨,雷明珠..粗糙海面与其上方多目标复合散射的混合算法[J].物理学报,2017,66(5):14-22,9.基金项目
国家自然科学基金(批准号:51307026)、黑龙江省科学基金(批准号:E201347)和哈尔滨市科技创新人才研究专项基金(批准号:RC2015QN020027)资助的课题.Project supported by the National Natural Science Foundation of China (Grant No. 51307026), the Natural Science Foundation of Heilongjiang Province, China (Grant No. E201347), and the Special Research Funds for Innovative Talents of Science and Technology of Harbin City, China (Grant No. RC2015QN020027). （批准号:51307026）
