J4 ›› 2015, Vol. 42 ›› Issue (6): 37-42.doi: 10.3969/j.issn.1001-2400.2015.06.007

• 研究论文 • 上一篇    下一篇

一种低快拍情况下的稳健自适应波束形成算法

朱玉堂;赵永波;水鹏朗;程增飞;李慧   

  1. (西安电子科技大学 雷达信号处理国家重点实验室,陕西 西安  710071)
  • 收稿日期:2014-06-23 出版日期:2015-12-20 发布日期:2016-01-25
  • 通讯作者: 朱玉堂
  • 作者简介:朱玉堂(1988-),男,西安电子科技大学博士研究生,E-mail: yutangzhu_xd@163.com.
  • 基金资助:

    中央高校基本科研业务费专项资金资助项目(K5051202047)

Robust adaptive beamforming algorithm in the situation of limited snapshots

ZHU Yutang;ZHAO Yongbo;SHUI Penglang;CHENG Zengfei;LI Hui   

  1. (National Key Lab. of Radar Signal Processing, Xidian Univ., Xi'an  710071, China)
  • Received:2014-06-23 Online:2015-12-20 Published:2016-01-25
  • Contact: ZHU Yutang

摘要:

针对低快拍情况下自适应波束形成器性能急剧下降的问题,提出一种基于联合协方差矩阵修正和导向矢量估计的稳健自适应波束形成算法.该算法先对协方差矩阵进行修正,再用修正的协方差矩阵估计最优导向矢量,最后利用修正的协方差矩阵和估计的最优导向矢量计算自适应波束形成器的加权矢量.该算法不仅能有效地处理各种失配,还能解决自适应波束形成器在低快拍情况下性能急剧下降的问题,提高了自适应波束形成器的稳健性.计算机仿真验证了所提算法的正确性和有效性.

关键词: 自适应波束形成, 阵列信号, 低快拍, 稳健性

Abstract:

In order to solve the problem of the sharp degradation of the adaptive beamformer performance due to limited snapshots, this paper proposes a new robust adaptive beamforming algorithm based on the correction of the covariance matrix and the estimation of the steering vector. The proposed algorithm first corrects the covariance matrix, and then obtains the estimation of the optimal steering vector with the corrected covariance matrix. Finally, using the corrected covariance matrix and the estimated optimal steering vector, the weight vector of the adaptive beamformer is calculated. The proposed algorithm can not only deal with all kinds of mismatches efficiently, but also solve the problem of the sharp degradation of the adaptive beamformer performance in the situation of limited snapshots, so that the robustness of the adaptive beamformer can be improved. Simulation results demonstrate the correctness and effectiveness of the proposed algorithm.

Key words: adaptive beamforming, array signal, limited snapshots, robustness

中图分类号: 

  • TN911
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