基于二次相关的时延估计方法研究

Time-delay Estimation Based on Second Correlation

以空间任意多元传感器阵列为模型,以被动定位算法为基础,针对传统时延估计方法中的互相关算法存在着估计精度不高的问题,提出了一种基于二次相关的时延估计方法。该方法首先对信号作自相关提高信噪比,再将自相关函数和互相关函数作相关处理得到时延值。理论和实验结果都表明:相对于传统的互相关时延估计方法,二次相关法可以明显的抑制噪声对信号时延估计的影响,提高时延估计的精度。

A time delay method estimated by the second correlation has been raised compared with the low precision of traditional methods.This method is based on the model of arbitrary multi-sensor array in space and the passive localization algorithm.Firstly, it makes an auto-correlation of the signal in order to improve the SNR.Secondly,it correlates the auto-correlation and the crosscorrelation to get the time-delay estimation.It has been verified in theory and by experiments that this method can restrain the impact of noise to signal obviously and improve the precision of time-delay estimation compared with the generalized cross-correlation。