J4 ›› 2010, Vol. 37 ›› Issue (2): 204-209.doi: 10.3969/j.issn.1001-2400.2010.02.005

• 研究论文 • 上一篇    下一篇

一种最小模级联相消器

黄庆东1,2;张林让1;卢光跃2
  

  1. (1. 西安电子科技大学 雷达信号处理重点实验室,陕西 西安  710071;
    2. 西安邮电学院 通信工程系,陕西 西安  710121)
  • 收稿日期:2008-12-02 出版日期:2010-04-20 发布日期:2010-06-03
  • 通讯作者: 黄庆东
  • 作者简介:黄庆东(1977-),男,西安电子科技大学博士研究生,E-mail: huangqingdong@xiyou.edu.cn.
  • 基金资助:

    国家自然科学基金资助项目(60672130;60602053)

Minimum module value cascaded canceller

HUANG Qing-dong1,2;ZHANG Lin-rang1;LU Guang-yue2   

  1. (1. Key Lab. of Radar Signal Processing, Xidian Univ., Xi'an  710071, China;
    2. Dept. of Communication Eng., Xi'an Univ. of Post & Telecommunication, Xi'an  710121, China)
  • Received:2008-12-02 Online:2010-04-20 Published:2010-06-03
  • Contact: Huang Qing-Dong

摘要:

针对阵列信号自适应相消器运算量大、收敛性能易受相关干扰影响等缺点,提出了一种改进的阵列信号级联相消器.该方法用最小模作为权值,替代中位值级联相消器中的中位数,具有收敛速度快、运算量小等特点,且对非平稳数据工作性能良好.仿真结果表明,此算法用采样协方差求逆类算法一半的样本数就可取得相同的收敛性能.

关键词: 阵列信号处理, 采样协方差求逆, 最小模级联相消器, 中位数级联相消器

Abstract:

Due to the defects of large operation and instability convergence performance in the array signal adaptive canceller under the interference, the paper proposes an enhanced array signal cascaded canceller, which has the advantages of fast convergence, smaller amount of operation and good performance with non-stationary samples. Simulation results indicate that the algorithm can reach the  same convergent performance by using half samples as the sample matrix inversion (SMI) algorithm.

Key words: array signal processing, sample matrix inversion(SMI), minimum module value cascaded canceller (MMVCC), median cascaded canceller(MCC)

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