一种新的广义二次相关时延估计算法

A New Generalized Secondary Correlation Time Delay Estimation Algorithm

针对广义互相关时延估计的性能在低信噪比环境下会恶化的问题,在理论分析广义二次相关时延估计算法的基础上,研究了HB加权函数和相关希尔伯特差值法的时延估计算法,提出了一种基于HB加权函数的广义二次相关希尔伯特差值时延估计算法。通过MATLAB仿真,对比了新算法和二次互相关算法、传统互相关算法时延估计效果。仿真结果表明:文中提出的算法相比二次互相关算法,锐化了互相关函数峰值;相比传统互相关算法,在低信噪比环境下,仍有较好的时延估计效果,具有一定的实用价值。

In view of the problem that the performance of generalized cross correlation delay estima tion will deteriorate in the low signal noise ratio （SNR） environment, based on the theoretical anal ysis of generalized secondary correlation delay estimation algorithm, this paper studies the HB weighted function and the interrelated Hilbert difference time delay estimation method, proposes a generalized quadratic correlation Hilbert difference time delay estimation algorithm based on HB weighted function, compares the time delay estimation effects of new algorithm, secondary cross correlation algorithm and traditional cross correlation algorithm through MATLAB simulation.The simulation results show that the proposed algorithm sharpens the peak of cross correlation function compared with the secondary cross correlation algorithm, and has better time delay estimation effect in low signal to noise ratio environment compared with the traditional cross correlation algo rithm,so has certain practical value.