摘要
针对TE极化下粗糙面上方的目标散射问题,提出了粗糙面的基尔霍夫近似(Kirchh off Approximation,KA)计算与目标的共轭梯度法(Conjugate Gradient,CG)求解相结合的混合算法,无需数值求解粗糙面的EFIE,节省了大量的计算时间。提出目标与粗糙面的快速互耦迭代算法:每一次迭代中,首先用上次求得的目标表面场计算粗糙面的差值感应场,代入目标积分方程求解右端激励项,再用CG方法求解目标的EFIE获得新的目标表面场。多次迭代直至目标的表面感应场收敛。结合Monte-Carlo方法迭代计算了二维Gauss粗糙面上柱状目标的散射,数值分析其散射峰值的角度性分布。
This paper presents a hybrid algorithm, combining analytic KA （Kirchhoff Approximation） and numerical CG （Conjugate Gradient）, to compute the composite object and rough surface scattering. The MoM with CG method is used to first solve the EFIE of the object. Then the fields on rough surface are analytically expressed using KA method, and large memory and computations for those fields are greatly reduced. Iterative approach of surface fields induced on both the object and rough surface is utilized to take account interactions between the object and underlying rough surface. With Monte-Carlo method, bistatic scattering from a 2D PEC cylindrical object above PEC rough surface is well simulated by this hybrid algorithm. Multi scattering peaks are related to spatial orientation and geometry of the square column object.
出处
《遥感技术与应用》
CSCD
2007年第2期230-233,共4页
Remote Sensing Technology and Application
基金
国家重点基础研究项目(2001CB309400)
国家自然科学基金(40637033
60571050)资助项目
关键词
目标与粗糙面散射
基尔霍夫近似
共轭梯度法
Target and rough surface scattering, Kirchhoff Approximation, Conjugate Gradient
