J4 ›› 2011, Vol. 38 ›› Issue (6): 82-88.doi: 10.3969/j.issn.1001-2400.2011.06.013

• 研究论文 • 上一篇    下一篇



  1. (1. 空军工程大学 导弹学院,陕西 三原  713800;
    2. 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:2010-09-23 出版日期:2011-12-20 发布日期:2011-11-29
  • 通讯作者: 郭艺夺
  • 作者简介:郭艺夺(1982-),男,空军工程大学博士研究生,E-mail: guoyiduo111@126.com
  • 基金资助:


Target localization method for the bistatic MIMO radar in the presence of mutual coupling of receiver and transmitter arrays

GUO Yiduo1;ZHANG Yongshun1;ZHANG Linrang2;TONG Ningning1   

  1. (1. Missile Institute, Air Force Eng. Univ., Sanyuan  713800, China;
    2. National Key Lab. of Radar Signal Processing, Xidian Univ., Xi'an  710071, China)
  • Received:2010-09-23 Online:2011-12-20 Published:2011-11-29
  • Contact: GUO Yiduo



关键词: 阵列信号处理, MIMO雷达, 目标定位, 互耦


By using the banded symmetric and Toeplitz matrix model for the mutual coupling of uniformly linear array(ULA), a subspace-based target localization and mutual coupling self-calibration method is proposed for the bistatic MIMO radar. The new algorithm can “decouple” the 2-dimensional (2-D) angles and mutual coupling parameters, and provide a similar estimated performance to 2-D MUSIC without the knowledge of the sensor mutual coupling matrix. At the same time, an accurate estimate of mutual coupling matrix based on the estimated 2-D angles can also be achieved simultaneously for self-calibration of the bistatic MIMO radar. The 2-D angles estimation and mutual coupling estimation can be completed just using one-dimensional search or polynomial rooting, with no high-dimensional nonlinear search and convergence burden involved, so the computatinal cost is low. The correction and efficiency of the proposed method are verified by computer simulation results.

Key words: array signal processing, MIMO radar, target localization, mutual coupling


  • TN957