基于二次相关的静电放电信号时延估计算法

Time-delay Estimation Algorithm for Electrostatic Discharge Signals Based on Quadratic Correlation

针对二次相关时延估计算法在低信噪比下存在正确率低、稳定性差等不足,提出一种将小波阈值去噪和二次相关信息积累运用于二次相关算法的静电放电信号时延估计算法。通过仿真与分析表明:新算法可在更低信噪比下正确估计出时延值,具有更高的正确率和稳定性,此外可通过增加积累次数有效提高时延估计的正确率和稳定性。

Aiming at the shortcomings of low accuracy and poor stability of quadratic correlation delay estimation algorithm at low Signal Noise Ratio（ SNR）,a time-delay estimation algorithm is proposed,which uses the wavelet threshold denoising and the correlation information accumulation in quadratic correlation algorithm. The simulation and analysis show that in lower SNR the new algorithm can estimate the delay value correctly with higher accuracy and stability. In addition,the correctness and stability of the estimation can be effectively improved by increasing the number of accumulation.