摘要
该文提出了一种基于M估计变步长自适应仿射投影方法的稳健时延估计(TDE)算法。该算法将自适应仿射投影算法应用于时延估计,无须事先假定信号和噪声的统计特性,自适应调整自身参数;应用稳健M估计理论,抵消重尾噪声干扰。数值仿真表明,在高斯噪声、非高斯噪声甚至冲激噪声的干扰下,该文算法比高阶统计量法和最小均方自适应法有更强的稳健性和更高的估计精度。
Robust time delay estimation is proposed using variable step-size affine projection algorithm with M-estimators. The novel algorithm, using the structure of adaptive filter and M-estimators, is free of the assumption that the statistical characteristics of singal and noise is known. Simulation experiments under three different noise environments, Gaussian, non-Gaussian and impulse noise, are conducted to compare with the proposed TDE method using the existing Higher-Order Spectra（HOS） and Least Mean Square（LMS）, and the result showes that the proposed TDE method is more robust and precision.
出处
《电子与信息学报》
EI
CSCD
北大核心
2008年第5期1080-1083,共4页
Journal of Electronics & Information Technology
基金
江苏省自然科学基金(BK2006001)资助课题
关键词
时延估计
M估计
变步长自适应仿射投影算法
高阶统计量
Time Delay Estimation（TDE）
M-estimators
Variable step-size affine projection algorithm
Higher-Order Statistics（HOS）
