文章摘要
黄健,严胜刚.分数低阶协方差谱用于改进的时延估计方法[J].,2017,36(5):424-428
分数低阶协方差谱用于改进的时延估计方法
An improved time delay estimation algorithm based on fractional lower order covariance spectrum
投稿时间:2017-01-20  修订日期:2017-08-24
中文摘要:
      时延估计技术是一项活跃的研究课题。近年来,满足α稳定分布的脉冲噪声模型得到了广泛的研究,并在时延估计技术中得到了应用。为提高时延估计方法在脉冲噪声环境下的估计精度和稳定性,提出了一种改进的基于分数低阶协方差谱的广义互相关时延估计方法,并进一步引入经验参数对所提出方法的性能进行调整。仿真分析表明,新方法在高斯和脉冲噪声环境条件下都具有良好的顽健性。
英文摘要:
      Time delay estimation technique is an active research topic. In recent years, the impulse noise model satisfying the α-stable distribution has been studied extensively, and it has been applied in time delay estimation. In order to improve the accuracy and stability of the time delay estimation method under impulsive noise, an improved generalized cross-correlation time delay estimation method based on fractional lower order covariance spectrum is proposed, and an empirical parameters are introduced to the proposed method. Computer simulations indicate that the proposed method perform robustly under both Gaussian and impulse noise conditions.
DOI:10.11684/j.issn.1000-310X.2017.05.008
中文关键词: 时延估计,脉冲噪声,分数低阶协方差谱
英文关键词: Time delay estimation, Impulsive noise, Lower order covariance spectrum
基金项目:
作者单位E-mail
黄健 西北工业大学 hj.steven@163.com 
严胜刚 西北工业大学 yshgang@nwpu.edu.cn 
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