吴君辉, 曹祥玉, 袁浩波, 高军, 封同安. 核外并行ACA算法计算电大目标RCS[J]. 电波科学学报, 2013, 28(6): 1179-1183.
      引用本文: 吴君辉, 曹祥玉, 袁浩波, 高军, 封同安. 核外并行ACA算法计算电大目标RCS[J]. 电波科学学报, 2013, 28(6): 1179-1183.
      WU Junhui, CAO Xiangyu, YUAN Haobo, GAO Jun, FENG Tongan. RCS calculation of electrically large target using parallel out-of-core adaptive cross approximation algorithm[J]. CHINESE JOURNAL OF RADIO SCIENCE, 2013, 28(6): 1179-1183.
      Citation: WU Junhui, CAO Xiangyu, YUAN Haobo, GAO Jun, FENG Tongan. RCS calculation of electrically large target using parallel out-of-core adaptive cross approximation algorithm[J]. CHINESE JOURNAL OF RADIO SCIENCE, 2013, 28(6): 1179-1183.

      核外并行ACA算法计算电大目标RCS

      RCS calculation of electrically large target using parallel out-of-core adaptive cross approximation algorithm

      • 摘要: 矩量法计算电大目标雷达散射截面〖WTBZ〗(Radar Cross Section,RCS)将消耗巨大计算机资源. 采用自适应交叉近似算法(Adaptive Cross Approximation Algorithm,ACA)降低了计算量和存储量,同时结合核外求解技术,并对算法进行了并行化处理,从而进一步降低了大型计算对计算硬件的需求,提高了计算速度. 通过算例证明了该算法在不损失矩量法精度的前提下可大幅缩减计算时间和内存需求.

         

        Abstract: Radar cross section(RCS) calculation of electrically large target using method of momen costs huge computer resource. The adaptive cross approximation (ACA)algorithm was applied to reduce the computation complexity and storage. Combined with the out-of-core solve technology, the above algorithm was paralleled to reduce hardware cost of large computation and improve compute speed further. Through a numerical example, it proves that the memory and compute time is reduced by this algorithm without losing the accuracy of metnd of moment MoM.

         

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