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Journal of Shanghai University（Natural Science Edition）

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Comprehensive Improvement of MLFMA

CHEN Xiao-xin1,ZHANG Hong-xia2,NI Wei-li1   

  1. 1. School of Communication and Information Engineering, Shanghai University, Shanghai 200072, China；
    2. Aviation Industry Development Research Center of China, Beijing 100012, China

  • Received:2005-09-12 Revised:1900-01-01 Online:1900-01-01 Published:1900-01-01

Cited

5

Abstract:

This paper proposes three methods for improvement of MLFMA including fixed side-length subdivision, assignment of weight of translation factor, and optimization for storing kernel arrays. Using these methods, one can reduce memory requirements and accelerate matrixvector multiplication. Numerical results show the validity of the optimizing methods.

Key words: electromagnetic scattering, translation factor, MLFMA

CLC Number: