摘要
循环相关处理可以从干扰和噪声中提取所需循环平稳信号的特征．研究了对含有平稳干扰和噪声的接收信号做循环相关处理时，不需要项如何随数据点数增多而消失的特性．给出了在每一数据点数时不需要项的均值和方差的解析表达式，并给出了特定情况下的简单表达式．用计算机模拟的实例验证了这些结论的正确性．
The feature extraction of cyclostationary signals corrupted by noise can be obtained using cyclic correlation. In this paper, we study how undesired items vanish with increase in the number of data when cyclic correlation operation of a received signal with additive stationary noise and interference is performed. The analytic expressions of means and variances of the undesired items are given with respect to the number of data as well as simple expressions under specific conditions. The computer simulation is in agreement with the analytic results.
出处
《西安电子科技大学学报》
EI
CAS
CSCD
北大核心
1999年第2期133-136,共4页
Journal of Xidian University
基金
国家自然科学基金
关键词
循环平稳性
循环相关
消失性
信号处理
cyclostationarity cyclic correlation vanishing characteistics
