基于广义互相关和多项式拟合的TDOA时延估计方法

TDOA Delay Estimation Method Based on Generalized Cross Correlation and Polynomial Fitting

广义互相关方法在TDOA时延估计中具有较高的精度和程序容易实现等优点而被广泛采用.为进一步提高时延的估算精度,在广义互相关的基础上,融入多项式拟合方法,寻求广义互相关函数的精确峰值位置,将时延估计精度推进到亚采样点级别.通过Matlab仿真分析及实测数据的算法验证,结果表明,在广义互相关方法中融入多项式拟合方法,能大大提高时延估计精度,且算法复杂度低,易于工程实现.

The generalized cross correlation method has the advantage of high precision and easy to programming in TDOA delay estimation,so it is widely used. In order to further improve the estimation accuracy, seek the precise peak of the generalized cross-correlation function and bring the delay estimation precision to the sub-sampling point level, the polynomial fitting method is introduced. The time delay estimation is divided into coarse and fine estimation. MATLAB simulation and analysis of measured data show that the accuracy of time delay estimation can be greatly improved with the merging of generalized cross correlation and polynomial fitting method. More importantly, this algorithm has features of low complexity and easy to implement.