基于三阶累积一维分量的广义二次互相关时延估计  

Generalized Second Cross Correlation time delay estimation for one⁃dimensional component of third⁃order cumulants

作　　者：李登峰[1] 张修靖 蒋杨杨 李思琦 LI Dengfeng;ZHANG Xiujing;JIANG Yangyang;LI Siqi(College of Electronic and Control Engineering,Chang’an University,Xi’an 710064,China)

机构地区：[1]长安大学电子与控制工程学院,陕西西安710064

出　　处：《电子设计工程》2021年第22期1-5,共5页Electronic Design Engineering

基　　金：中国博士后科学基金资助项目(2016M600756);陕西省重点产业创新链基金资助项目(2018ZDCXL-GY-05-03-02)。

摘　　要：广义二次互相关时延估计法在非互相关噪声环境下可以取得良好的时延估计效果。但在有相关噪声的环境下,广义二次互相关时延估计方法的估计性能会严重下降。为了抑制相关高斯噪声对时延估计的影响,在三阶累积一维分量的基本互相关时延估计的基础上,提出三阶累积一维分量的广义互相关和广义二次互相关两种时延估计方法。仿真结果表明,无论在非相关噪声还是相关噪声环境下,三阶累积一维分量的广义二次互相关的延时估计值比其广义互相关和基本互相关的延时估计值更准确,即使在低信噪比环境中,也能取得较为准确的估计结果,具有一定的工程实用价值。For uncorrelated noise,time delay estimation performs well with Generalized Second Cross Correlation(GSCC)method.However,the estimation performance of GSCC method will decline seriously under the condition of correlated noise interference.In order to suppress the influence of correlated Gaussian noise on the delay estimation,two delay estimation methods,GSCC and generalized quadratic cross correlation,are proposed based on one-dimensional component of thirdorder cumulants basic cross correlation estimation.The simulation results show that the GSCC of onedimensional component base on thirdorder cumulants is more effective than the delay estimation of GCC and basic crosscorrelation in both noncorrelated and correlated noise environments,and it also has better effect in low SNR,which has certain utility value.

关 键 词：时延估计 广义二次互相关 相关噪声 三阶累积量 

分 类 号：TN98[电子电信—信息与通信工程]