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中国科学院大学学报 ›› 2012, Vol. 29 ›› Issue (1): 70-75.DOI: 10.7523/j.issn.2095-6134.2012.1.010

• 信息与电子科学 • 上一篇    下一篇

参量匹配滤波器和向量自回归滤波器的等价性

尚秀芹1,2, 宋红军1, 黄杰文1,2, 李杨1,2   

  1. 1. 中国科学院电子学研究所, 北京 100190;
    2. 中国科学院研究生院, 北京 100049
  • 收稿日期:2010-09-16 修回日期:2011-01-10 发布日期:2012-01-15

On the equivalence between parametric matched filter and vector autoregressive filter

SHANG Xiu-Qin1,2, SONG Hong-Jun1, HUANG Jie-Wen1,2, LI Yang1,2   

  1. 1. Institute of Electronics, Chinese Academy of Sciences, Beijing 100190, China;
    2. Graduate University, Chinese Academy of Sciences, Beijing 100049, China
  • Received:2010-09-16 Revised:2011-01-10 Published:2012-01-15

摘要:

分析了自适应匹配滤波器和向量自回归(VAR)时域白化滤波器. 结果表明,通过最小化用误差平方之和估计的均方误差得到的参量滤波器系数和通过相同阶数的多通道最小二乘法得到的VAR滤波器系数是等价的. 此外,还分析了VAR滤波器最小二乘估计器的渐进性能,分析了滤波器的运算量和杂波抑制性能.

关键词: 空时自适应处理, 参量匹配滤波器, 向量自回归滤波器

Abstract:

The parametric matched filter (PMF) and the vector autoregressive (VAR) temporally-whitening filter are analyzed. The results show that the coefficients of the PMF obtained by minimizing mean square error (MSE) estimated via sum of squared errors (SSE) are equivalent to those of the VAR filter by multichannel least square (LS) algorithm of the same order. Additionally, the asymptotic performance of the LS estimator of VAR filter is analyzed. Finally, the operations and performances for clutter suppression are analyzed.

Key words: STAP, parametric matched filter (PMF), vector autoregressive (VAR) filter

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