基于改进二次相关算法的TDOA时延估计

TDOA Time Delay Estimation Based on Improved Second Correlation Algorithm

中文关键词:  TDOA  二次相关  SCOT  抗噪性  估值精度

英文关键词:TDOA  second correlation  SCOT  anti-noise  valuation accuracy

中文摘要:

      在TDOA时延估计中，二次相关算法能够较好地抑制噪声干扰，进而提高时延估值精度。为了进一步提升在较强噪声干扰的条件下二次相关算法的抗噪性能，在传统二次相关算法中的互相关函数部分加入SCOT加权函数，提出了基于改进二次相关算法的TDOA时延估计。算法对接收到的信号分别进行自相关以及SCOT加权互相关，再将所得到的相关函数进行二次广义相关，通过检测相关函数的谱峰得到估算的时延值。实验仿真以及对实测数据的验证均表明，在低信噪比时改进算法较传统算法具有较高的估值精度。

英文摘要:

      In the TDOA time delay estimation,the second correlation algorithm can suppress the noise interference better,so as to improve the precision of the time delay estimation.In order to further enhance the anti-noise performance of the second correlation algorithm under the condition of strong noise interference,the cross-correlation function in the traditional second correlation algorithm is added to the SCOT weighting function,and TDOA time delay estimation based on the improved second correlation algorithm is proposed.The algorithm performed autocorrelation and SCOT weighted cross correlation for the received signals,then the obtained correlation function was subjected to second generalized correlation,and the estimated delay value was obtained by detecting the spectral peak of the correlation function.The experimental simulation and the verification of the measured data show that the improved algorithm has higher accuracy than the traditional algorithm at low signal to the ratio.