基于SCOT双加权二次相关的时延估计算法

Time Delay Estimation Algorithm Based on SCOT Double Weighted Second Correlation

  • 摘要: 在研究时延估计中二次相关法的基础上,为了进一步提升二次相关法在更低信噪比条件下的可用性,结合广义互相关中的广义权函数,对二次相关法中的两次互相关分别进行平滑相干变换(SCOT)加权处理.实验仿真结果表明,与二次相关法以及广义二次相关法相比,基于SCOT双加权二次相关的时延估计算法在信噪比低时仍具有较高的时延估值精度.

     

    Abstract: On the basis of studying the second correlation method in time delay estimation, in order to further improve the availability of the second correlation method under lower signaltonoise ratio conditions, combined with the generalized weight function in generalized crosscorrelation, the two cross-correlations in the second correlation method are weighted with SCOT separately. The experimental simulation results show that compared with the second correlation method and the generalized second correlation method, the time-delay estimation algorithm based on SCOT double weighted second correlation still has a high accuracy of time delay estimation when the SNR is low.

     

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