复高阶周期平稳信号的非参数多谱估计  

NONPARAMETRIC POLYSPECTRAL ESTIMATORS FOR k-TH-ORDER (ALMOST) CYCLOSTATIONARY COMPLEX PROCESSES

作　　者：毛用才[1] 保铮[1] 

机构地区：[1]西安电子科技大学雷达信号处理实验室,西安710071

出　　处：《电子科学学刊》1997年第5期577-583,共7页

摘　　要：本文研究利用平滑周期图作为离散时间k阶复周期平稳过程k阶循环谱估计的相容性和渐近复正态性,并导出了其渐近协方差表达式.Higher-order almost cycloststionary complex processes are complex random signals with almost periodically time-varying statistics, which is important to the research of non-Gaussian signals in information system. In this paper, smoothed polyperiodograms are proposed for related to cyclic polyspectral estimation and are shown to be consistent and asymptotically complex normal. Asymptotic covariance expressions are derived along with their computable forms.

关 键 词：复周期平稳序列 非参数循环 多谱估计 

分 类 号：TN911.23[电子电信—通信与信息系统]