脉冲噪声下基于非线性函数的分数时延估计方法  

Fractional Time Delay Estimation Method Based on Nonlinear Function in Impulsive Noise

作　　者：唐强 邵高平[1] 王彬[1] 邵帅 TANG Qiang;SHAO Gaoping;WANG Bin;SHAO Shuai(Information Engineering University,Zhengzhou 450001,China)

机构地区：[1]信息工程大学,河南郑州450001

出　　处：《信息工程大学学报》2022年第4期428-434,共7页Journal of Information Engineering University

摘　　要：针对现有的自适应分数时延估计方法在脉冲噪声下性能退化问题,提出一种新的基于非线性函数的分数时延估计算法。该算法在tanh函数基础上引入调节因子MED构成新的非线性函数,然后将新非线性函数和Lagrange插值滤波器相结合,实现脉冲噪声下分数时延自适应估计。该算法无需知道噪声的先验信息,且仿真实验结果表明,相较现有方法,该算法在低混合信噪比和高脉冲噪声环境下的分数时延估计稳态均方误差更小。To address the performance degradation of existing adaptive fractional time delay estimation methods in impulsive noise,this paper proposes a new algorithm for fractional time delay estimation based on the nonlinear function.The algorithm introduces the modulation factor MED based on the tanh function to form a new nonlinear function,and then combines this new nonlinear function with Lagrange interpolation filter to achieve adaptive fractional delay estimation in impulsive noise.The algorithm does not require the prior information of impulsive noise.Compared with the existing methods,the simulation results show that the steady-state mean square error of this algorithm is smaller in low mixed signal-to-noise ratio and high-impulse noise environments.

关 键 词：分数时延估计 脉冲噪声 非线性函数 Lagrange滤波器 

分 类 号：TN911.7[电子电信—通信与信息系统]