改进的LMS自适应时延估计方法

针对传统的基于SINC插值的自适应时间延迟估计方法估计误差较大、收敛速度较慢等问题,提出了一种新的插值方法和相应的自适应时延估计方法.根据LMS自适应时延估计方法中最优权表达式的有关参数特点,采用自适应算法对参数进行估计并进行了理论分析.计算机仿真结果表明,与基于SINC插值的自适应时延估计方法相比,在不同信噪比条件下,新方法所需自适应滤波器抽头长度小且具有较快的收敛速度和较好的稳态均方误差,具有广泛的适用性.

A modified LMS-based adaptive time delay estimation method

In order to solve the problem that the estimation error is bigger and the convergence speed is lower in the traditional adaptive time delay estimation method based on SINC interpolation, a novel interpolation and its corresponding adaptive time delay estimation method were proposed. Based on the features of relevant parameters in the expression of optimum weight for LMS(least mean square)-based adaptive time delay estimation method, the parameters were estimated and the theoretical analysis was carried out with the adaptive algorithm. The results of computer simulation reveal that compared with the adaptive time delay estimation method based on SINC interpolation, the length of adaptive filter taps needed in the proposed method is less under different SNR(signal to noise ratio)conditions, and the proposed method exhibits faster convergence rate, better SMSE(steady state mean square error)and wide applicability.