一种基于主元加权迭代的拓展边界方法
By improving the matrix inversion process of the extended boundary method using the principal component weighted iteration method, the problems of non-convergence and insufficient accuracy in the calculation of atmospheric non-spherical particle scattering parameters are solved, and higher accuracy and wider range of calculations are achieved.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- NAT UNIV OF DEFENSE TECH
- Filing Date
- 2023-03-17
- Publication Date
- 2026-07-17
AI Technical Summary
Existing technologies suffer from high computational complexity and are prone to non-convergence issues when calculating the scattering parameters of atmospheric non-spherical particles, especially for large-scale and extremely shaped particles, resulting in insufficient computational accuracy.
The principal component weighted iteration method is used to replace the matrix inversion process in the extended boundary method. The matrix condition number is calculated by singular value decomposition, which is transformed into a system of real linear equations and then subjected to principal component weighted iteration, thereby reducing the ill-conditioned nature of the matrix and improving the accuracy of inversion.
It improves the calculation accuracy and range of atmospheric non-spherical particle scattering parameters, and can handle particles with larger scale and extreme shapes, with higher calculation efficiency and accuracy.
Smart Images
Figure CN116204761B_ABST