| 基于最小二乘拟合和特征基函数法的目标宽带RCS快速计算 |
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| 引用本文： | 王仲根,王宵,李敏,吴文凤,涂冰花. 基于最小二乘拟合和特征基函数法的目标宽带RCS快速计算[J]. 安徽师范大学学报(自然科学版), 2017, 40(1). DOI: 10.14182/J.cnki.1001-2443.2017.01.007 |
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| 作者姓名： | 王仲根 王宵 李敏 吴文凤 涂冰花 |
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| 作者单位： | 安徽理工大学电气与信息工程学院,安徽淮南,232001;安徽理工大学电气与信息工程学院,安徽淮南,232001;安徽理工大学电气与信息工程学院,安徽淮南,232001;安徽理工大学电气与信息工程学院,安徽淮南,232001;安徽理工大学电气与信息工程学院,安徽淮南,232001 |
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| 基金项目： | 国家自然科学基金项目，计算智能与信号处理教育部重点实验室开放基金项目，安徽理工大学博士启动基金项目，安徽理工大学大学生创新创业训练计划项目 |
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| 摘 要： | 提出一种快速分析目标宽带雷达散射截面的方法,该方法将最小二乘拟合与特征基函数法相结合,通过计算选定的若干频率点的表面电流便可快速求解出整个频带内的表面电流.具体过程为利用特征基函数法求解选定频率点目标表面电流,进而利用最小二乘拟合实现表面电流和雷达散射截面的快速计算.数值计算结果表明:在不影响精度的前提下,该方法可大大提高计算效率、减少内存需求.
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| 关 键 词： | 最小二乘拟合 特征基函数法 雷达散射截面 矩量法 |
Fast Calculation of Wide-Band RCS for Objects Based on the Least Square Fitting and Characteristic Basis Function Method |
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| WANG Zhong gen,WANG Xiao,LI Min,WU Wen-feng,TU Bin-hua. Fast Calculation of Wide-Band RCS for Objects Based on the Least Square Fitting and Characteristic Basis Function Method[J]. Journal of Anhui Normal University(Natural Science Edition), 2017, 40(1). DOI: 10.14182/J.cnki.1001-2443.2017.01.007 |
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| Authors: | WANG Zhong gen WANG Xiao LI Min WU Wen-feng TU Bin-hua |
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| Abstract: | A new method for fast calculation of wide-band radar cross section(RCS) is presented which is based on the least square fitting (LSF) technique and characteristic basis function method (CBFM).The surface current of the whole frequency band can be obtained quickly through the surface current of some selected frequency points in this new method.The detailed process can be implemented as follow.Firstly,the CBFM is used to calculate the current at selected frequency point,respectively.Then,the LSF technique will be employed for the fast solver of wide-band surface current and RCS.Numerical results show that the computational efficiency is improved significantly and the memory cost is decreased by using the method presented in this paper without sacrificing much accuracy. |
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| Keywords: | least square fitting (LSF) characteristic basis function method (CBFM) radar cross section(RCS) method of moments (MoM) |
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