摘要
简要本文提出了一种新的两级时延估计方法,采用自适应时延估计与相关检测相结合,在最小均方误差准则下(LMS)通过对FIR滤波器参数的迭代,峰值检测得到时延的整数值,再通过相关检测得到时延估计的小数值。通过对算法原理的推导,给出了时延估计的整数值和小数值的理论依据,并给出了算法具体实现过程。实验结果和分析表明,在非平稳噪音和信噪比大于6dB情况下,时延估计的准确度可以达到95%以上,运算复杂度显著降低。
A new robust time-delay estimation method is proposed. Based on the combination of adaptive time-delay estimation and correlation detection, it has two stages, the first is to get integer delay value by using the LMS adaptive iteration, the second is to use correlation detection to get fractional delay. The algorithm＇s implementation flowchart is given. The test results show, under non-stationary noise and when snr is above 6dB, the accuracy of time-delay estimation is up to 95%, and the computation complexity is reduced greatly.
出处
《软件》
2011年第8期6-8,20,共4页
Software
关键词
语音处理
最小均方误差
时延估计
相关检测
Speech Processing
MMSE
Time-delay Estimation
Correlation Detection
