非高斯相关噪声中高斯信号的时延估计  

TIME DELAY ESTIMATION OF GAUSSIAN SIGNAL IN NON-GAUSSIAN SPATIALLY CORRELATED NOISE

作　　者：梁应敞[1] 张贤达[1] 李衍达[1] 张沛武 

机构地区：[1]清华大学自动化系,北京100084 [2]煤炭研究院唐山分院,唐山063012

出　　处：《电子科学学刊》1997年第5期606-612,共7页

基　　金：国家自然科学基金;中国博士后科学基金

摘　　要：高阶统计量在信号处理中成功的应用例子之一是估计高斯相关噪声中非高斯信号的时延参数.本文则研究非高斯相关噪声中高斯信号的时延估计问题,提出了一种解决该问题的混合方法.该方法先计算观测值的三阶累积量,然后利用累积投影公式计算观测噪声的二阶统计量,最后利用互相关方法确定信号时延参数.仿真结果验证了该方法的有效性.One of the primary applications of higher order statistics has been for the time delay estimation of non-Gaussian signal in Gaussian spatially correlated noise. This paper studies the time delay estimation of Gaussian signal in the presence of unknown non-Gaussian spatially correlated noise. A hybrid approach for solving this problem is proposed. First, the third-order statistics of the measurements, thus those of the non-Gaussian noises are estimated; then the second-order statistics of the noises are computed by statistics projection; finally, cross-correlation based approaches are used to estimate time delay parameter. Simulation examples are also presented to demonstrate the effectiveness of the new approach.

关 键 词：时延估计 非高斯相关噪声 高阶统计量 信号处理 

分 类 号：TN911.7[电子电信—通信与信息系统]