利用二次相关改进的广义互相关时延估计算法

Improved Generalized Cross Correlation Method for Time Delay Estimation by Using Second Correlation

为了提高传统广义互相关时延估计算法的性能,将二次相关时延估计算法与广义互相关时延估计算法相结合,提出了一种利用二次相关改进广义互相关的时延估计新算法。该算法先对信号进行二次相关处理,利用相关函数抑制了噪声的干扰,然后在相关函数序列上进行权重处理,进一步提高了算法的抗噪声性能与估算精度。仿真实验证明新算法较广义互相关算法性能有了明显的提升,对闪电辐射源定位资料的分析也验证了该算法的有效性。

In order to improve the performance of the generalized cross correlation （GCC） method for time delay estimation, a new arithmetic combined with GCC and second correlation is proposed. The main process of the new arithmetic is as that of the GCC method except that the signals are auto-correlated and inter-correlated before the weighting processing. Simulation tests indicate that its performance of anti-interference and precision is better than GCC. To verify the proposed method, the artificially triggered lightning data is processed. It proves that the new arithmetic can be competent to the lightning radiation source location and increases the location accuracy effectively.