A two steps fast monostatic radar cross section simulation scheme based on adaptive cross approximation and singular value decomposition

Liangshuai Guo, Yun Lin, Zhengguo Xue, Huiyuan Zhang
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Abstract

The monostatic radar cross section are used widely in radar applications. The numerical algorithms such as integral equation can be used for accurate simulation of monostatic radar cross section. However, the simulation of monostatic radar cross section is much more time consuming than bistatic radar cross section, if an iterative solver is used. In this paper we propose a scheme based on the adaptive cross approximation (ACA) and singular value decomposition (SVD) which can reduce the simulation time of monostatic radar cross section simulation using integral equation method.
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一种基于自适应交叉逼近和奇异值分解的两步快速单站雷达截面仿真方案
单站雷达截面在雷达应用中有着广泛的应用。积分方程等数值算法可用于单基地雷达截面的精确模拟。但是,如果采用迭代求解法,单基地雷达截面的仿真要比双基地雷达截面的仿真费时得多。本文提出了一种基于自适应交叉逼近(ACA)和奇异值分解(SVD)的单站雷达截面仿真方案,可以缩短积分方程法单站雷达截面仿真的仿真时间。
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