J4 ›› 2011, Vol. 38 ›› Issue (6): 108-112+129.doi: 10.3969/j.issn.1001-2400.2011.06.017

• 研究论文 • 上一篇    下一篇

特征矢量约束的近程杂波抑制鲁棒自适应波束形成算法

刘涛1;陆长捷1;廖晖2;马红光1   

  1. (1. 第二炮兵工程学院,陕西 西安  710025;
    2. 南京电子技术研究所,江苏 南京  210013)
  • 收稿日期:2010-09-08 出版日期:2011-12-20 发布日期:2011-11-29
  • 通讯作者: 刘涛
  • 作者简介:刘涛(1982-),男,第二炮兵工程学院博士研究生,E-mail: liutao_8203@126.com

Robust adaptive beamforming algorithm based on the eigenvector constraint for short-range clutter suppression

LIU Tao1;LU Changjie1;LIAO Hui2;MA Hongguang1
  

  1. (1. The Second Artillery Eng. Colleague, Xi'an  710025, China;
    2. Nanjing Research Inst. of Electronics Tech., Nanjing  210013, China)
  • Received:2010-09-08 Online:2011-12-20 Published:2011-11-29
  • Contact: LIU Tao

摘要:

针对机载非正侧视阵在距离模糊条件下的近程杂波抑制问题,提出了一种俯仰滤波算法.利用杂波协方差矩阵特征分解形式,建立了一种特征矢量选择方法.用该方法挑选出对应于近程和远程的特征矢量作为波束形成算法的约束.相对于传统算法,这种特征矢量约束的波束形成算法指向误差和导向矢量失配更具鲁棒性,并克服了主瓣畸变的问题.仿真结果验证了该算法的有效性.

关键词: 非正侧视阵, 近程杂波抑制, 自适应波束形成, 特征矢量约束

Abstract:

For the cancellation of the severe range dependent short-range clutter in the case of range ambiguity of non-side-looking arrays (NSL), an elevation filtering algorithm is proposed. Based on the eigendecomposition of the covariance matrix, an eigenvector selecting method is developed. Using this method, eigenvectors corresponding to short-range and long-range are selected as constraints for the adaptive beamformer. It is shown that the eigenvector constrained (EVC) beamforming algorithm demonstrates the advantages of low sensitivity to steering angle error or steering vector mismatch and great robust main-lobe protecting ability over conventional algorithms. Computer simulation results are presented that illustrate the effectiveness of the proposed algorithm.

Key words: non-side-looking array, short-range clutter suppression, adaptive beamforming, eigenvector constraint

中图分类号: 

  • TN958.92