J4 ›› 2012, Vol. 39 ›› Issue (4): 52-56.doi: 10.3969/j.issn.1001-2400.2012.04.010

• 研究论文 • 上一篇    下一篇



  1. (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;
    2. 西安科技大学 通信学院,陕西 西安  710054)
  • 收稿日期:2011-05-05 出版日期:2012-08-20 发布日期:2012-10-08
  • 通讯作者: 杨志伟
  • 作者简介:杨志伟(1980-),男,副教授,博士,E-mail: zwyang@mail.xidian.edu.cn.
  • 基金资助:


Estimation of the number of sources via minimal redundancy fitting

YANG Zhiwei1;HE Shun1,2;ZHANG Juan1;XU Qing1   

  1. (1. National Key Lab. of Radar Signal Processing, Xidian Univ., Xi'an  710071, China;
    2. Commun. and Info. Eng. Collage, Xi'an Univ. of Sci. and Tech., Xi'an  710054, China)
  • Received:2011-05-05 Online:2012-08-20 Published:2012-10-08
  • Contact: YANG Zhiwei



关键词: 阵列信号处理, AIC准则, MDL准则, 信源数估计


To alleviate the performance deterioration in the estimation of the number of sources with a low signal-to-noise ratio and/or secondary data deficient scenario, a new method based on the minimum redundancy fitting test is presented. The approach is performed in three stages. First, we employ a subspace tracking algorithm to calculate the one-dimensional noise subspace, and then a redundant array steer matrix is obtained based on the spatial spectrum which corresponds to the noise subspace. Redundant steer vectors are removed via minimum redundancy fitting and the number of sources is obtained. The effectiveness of the presented algorithm is verified by numerical simulation.

Key words: array signal processing, AIC criteria, MDL criteria, source number estimation