J4 ›› 2016, Vol. 43 ›› Issue (1): 60-65.doi: 10.3969/j.issn.1001-2400.2016.01.011

• 研究论文 • 上一篇    下一篇

雷达目标宽带散射特性的GGO快速分析方法

陈文锋1,2;龚书喜1;董海林1;张鹏飞1;赵博1   

  1. (1. 西安电子科技大学 天线与微波技术重点实验室,陕西 西安  710071;
    2. 中国电子科技集团公司第三十六研究所,浙江 嘉兴  314033)
  • 收稿日期:2014-08-12 出版日期:2016-02-20 发布日期:2016-04-06
  • 通讯作者: 陈文锋
  • 作者简介:陈文锋(1982-),男,西安电子科技大学博士研究生,E-mail:laker-cwf@163.com.
  • 基金资助:

    国家自然科学基金资助项目(61201023);中央高校基本科研业务费专项资金资助项目(K5051302021)

Fast analysis of wide-band scattering from radar targets using the GGO method

CHEN Wenfeng1,2;GONG Shuxi1;DONG Hailin1;ZHANG Pengfei1;ZHAO Bo1   

  1. (1. Science and Technology on Antenna and Microwave Lab., Xidian Univ., Xi'an  710071, China;
    2. No.36 Research Institute of CETC, Jiaxing  314033, China)
  • Received:2014-08-12 Online:2016-02-20 Published:2016-04-06
  • Contact: CHEN Wenfeng

摘要:

文中将降维技术应用到传统矩量法中,并结合梅利逼近对目标二维雷达散射截面进行快速分析.针对角域和频域中目标表面电流的二维展开式,Gauss-Green-Ostrogradsky(GGO)降维技术将问题转化为角域(或频域)的一元函数及其各阶导数的叠加,有效避免了逼近函数二维展开系数的求解过程,并通过控制导数的阶数调整计算精度,从而快速有效获得雷达目标二维散射特性.与二维梅利逼近方法相比,该方法在不失精度下更易于实现编程计算,内存需求和求解时间仅为原始算法的1/6和1/3.

关键词: 矩量法, 雷达散射截面, 梅利逼近, 降维技术

Abstract:

The dimensions reducing technique combined with the Maehly approximation is applied to the Method of Moment (MoM) for analysis of the two-dimensional radar cross section (RCS) of the target. The Gauss-Green-Ostrogradsky (GGO) algorithm is utilized to transform the two-dimensional expression for the surface currents in both spatial and frequency domains to one dimension and its derivatives. This procedure avoids the solution of expansion coefficients in the two-dimensional expression and makes the accuracy adjustable by the order of derivatives. Compared with the two-dimensional Maehly approximation method, the proposed scheme can acquire RCS data efficiently with good accuracy and reduce procedural complexity. Finally, numerical results show that memory requirement and calculation time are about 1/6 and 1/3 of what are needed in the original method.

Key words: method of moment, radar cross section, Maehly approximation, reduced dimensions technique

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