摘要
针对现实环境中经常出现的强脉冲、非高斯噪声,以α稳定分布作为噪声模型,研究了被动系统中的多源时延估计问题.同时考虑到α稳定分布噪声会降低基于二阶统计量的传统方法的性能,依据分数低阶统计量理论并引入线性调频Z变换(CZT),提出了一种脉冲噪声环境条件下的多源时延估计新方法,仿真表明该方法可有效解决脉冲噪声环境中多源时延估计的高精度问题,其性能优于常用的共变法.
Since there exists non-Gaussian impulsive noise in real environment, α-stable distribution is taken as the noise model. And under this assumption, the problem of multi-source time delay estimation in passive systems is studied. Considering the effect of α-stable distributed noises for the classical second order statistics, combining fractional lower order statistics theory and chirp Z transformation （CZT）, a novel multi-source time delay estimation method in impulsive noise environment is proposed. Simulations show that the proposed method is a high resolution method suited for a-stable distributed noises condition and its performance is better than that of the common method named covariation method.
出处
《大连理工大学学报》
EI
CAS
CSCD
北大核心
2007年第5期746-750,共5页
Journal of Dalian University of Technology
基金
国家自然科学基金资助项目(603720813057047530170259)
教育部高等院校博士学科点专项科研基金资助项目(20050141025)
关键词
Α稳定分布
CZT
分数低阶统计量
时延估计
α-stable distribution
CZT
fractional lower order statistics
time delay estimation
