摘要
本文提出了一种HB加权的自适应时间延迟估计方法。这种方法不依赖于输入信号和噪声的先验知识,具有较高的估计精度和收敛速度,适用于低信噪比下的时间延迟估计。
This paper proposes an HB weighted adaptive time delay estimator. The theoretical analysis and the computer simulation show that this new method does not depend on the knowledge about input signals and it has a higher precision and faster convergence speed. Under low SNR conditions, the performances of this method are better than those of LMS TDE obviously.
基金
国家教委博士点基金
