J4 ›› 2014, Vol. 41 ›› Issue (5): 166-172.doi: 10.3969/j.issn.1001-2400.2014.05.028

• 研究论文 • 上一篇    下一篇



  1. (1. 解放军信息工程大学 导航与空天目标工程学院,河南 郑州  450000;
    2. 中国人民解放军72495部队,河南 郑州  450000)
  • 收稿日期:2013-06-04 出版日期:2014-10-20 发布日期:2014-11-27
  • 通讯作者: 刘成城
  • 作者简介:刘成城(1986-),男,解放军信息工程大学博士研究生,E-mail: luckylcc079@126.com.
  • 基金资助:


Robust beamforming algorithm for general signal models based on the ULA

LIU Chengcheng1;DING Yongchao1;ZHAO Yongjun1;YANG Jing1,2   

  1. (1. School of Navigation and Aerospace Object Engineering, Information Engineering University of PLA, Zhengzhou  450000, China;
    2. PLA Unit 72495, Zhengzhou  450000, China)
  • Received:2013-06-04 Online:2014-10-20 Published:2014-11-27
  • Contact: LIU Chengcheng



关键词: 波束形成, 均匀直线阵, 通用信号模型, 数据共轭重排


For the robust adaptive beamforming problem of incoherently scattered signals,a robust beamforming algorithm for general signal models based on the uniform linear array (ULA) is proposed. By introducing the conjugate data rearrangement method, two transformation matrices are defined to reconstruct the signal covariance matrices. Based on the new signal covariance matrices, the proposed algorithm gives a real valued close-form solution for the optimum weight vector to reduce the computational complexity. Then, the influences of the Signal-Noise-Ratio, snapshots, look direction errors and mismatch constraint parameters on the output Signal-Interference-Noise-Ratio are discussed in detail. The conjugate data is rearranged and reused in the new covariance matrix,so that the performance is obviously improved under the conditions of a limited number of snapshots, the severe signal mismatch and so on. Simulations illustrate the effectiveness of the proposed method.

Key words: beamforming, uniform linear array, general signal models, conjugate data rearrangement


  • TN911.7