摘要
电大目标单站RCS的计算效率已成为积分方程法求解电磁散射问题的关键技术之一。为了快速而准确求解 ,对已有自适应采样算法进行了改进 ,不仅适合并行计算 ,而且提高了搜索效率。最后 ,将基于改进自适应采样算法的Pade有理逼近与采用快速多极子加速方法的MoM结合求解几个典型实例的单站RCS ,数值结果表明了该方法的有效性。
The computing efficiency of monostatic RCS solution of electrically large and complex objects is becoming an key technique for the method of integral equations. To obtain a rapid and efficient solution, an improved adaptive sampling algorithm (ASA) is presented. The improved scheme not only suits to parallel compute, but also increases the searching efficiency. Monostatic RCS's of several typical objects is calculated by using MoM with FMM and model-based parameter estimation based an improved adaptive sampling algorithm (IA-SA). Numerical results are provided to prove the validity of the method.
出处
《电波科学学报》
EI
CSCD
2004年第1期72-76,共5页
Chinese Journal of Radio Science
基金
国家自然科学基金重点资助项目 (6 99310 30 )
