基于非线性变换的自适应时间延迟估计

Adaptive Time Delay Estimation Based on Nonlinear Transform

含有脉冲性噪声的信号常使经典的时间延迟估计算法效果变差。给出了一种基于Sigmoid变换的自适应时间延迟估计算法(SATDE),采用Sigmoid函数,对含有脉冲性噪声的信号进行非线性变换;利用自适应滤波器对信号的时间延迟参量进行估计。计算机数值仿真实验结果表明,该算法在对信号的时间延迟进行估计时,不仅可以适用于符合高斯模型的信号噪声,更适用于含有脉冲噪声的信号。该算法是一种具有较好鲁棒性的时间延迟估计算法。

The actual signals obtained often contain impulse noise.This makes traditional al-gorithms inaccurate.In this paper,an adaptive time delay estimation algorithm is proposed based on the sigmoid transform （referred to as SATDE）.Signals containing impulse noise are non-line-arly transformed using the sigmoid function.An adaptive filter is then used to estimate parameters of the signal time delay.Numerical simulation results show that SATDE is suitable for signals with both Gaussian noise and impulse noise.It is concluded that SATDE is a robust time delay es-timation algorithm.