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中文核心期刊

一种维纳加权频域自适应时延估计算法

A Wiener weighting algorithm of adaptive time delay estimation in frequency domain

  • 摘要: 提出了一种基于频域自适应滤波的维纳加权时延估计算法。该算法首先实现了对输入信号的维纳自适应滤波预处理,然后在频域实现了自适应时延估计。该算法在将相位数据拟合时,做了一次加权处理,有效地改善了时延估计的精度和自适应收敛速度。最后用实测的直升机噪声数据进行了仿真,验证了新算法的有效性。

     

    Abstract: A Wiener weighting adaptive time delay estimation algorithm based on frequency domain is presented. It is made up of two steps of frequency domain adaptive filters, the first step is the Wiener weighting to the input signals, and the second one is the adaptive time delay estimation in the frequency domain. In order to improve the performance of the algorithm in the low signal to noise ratio, the algorithm utilizes a combined filter transfer function to weight the phase data before fitting the phase data to estimate the time delay. The simulation results of the real data radiated by the helicopters show the effectiveness of the algorithm.

     

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