摘要
时域序列中周期信号探测与提取是信号探测与处理领域的重要研究内容之一,而实际观测的时域序列是含噪的有限长序列,时间分布也是非均匀的。Lomb-Scargle傅立叶分析法是处理非均匀含噪序列的常用有效方法之一。通过模拟的方法研究了时域序列的信噪比、时间分布的非均匀性和有效长度对其Lomb-Scargle功率谱结构的影响。结果表明序列的信噪比、时间分布中的大采样间隔和有效长度分别对主频信号的显著性、不确定度、光谱泄露(虚假谱峰)和半波宽度(频率分辨率)有重要影响。
The detection and extract of periodic signal from time series is one of the important research questions in signal detecting and processing domain.But the length of time series is usually limited,and its distribution is uneven.The Lomb-Scargle method is a common tool in the frequency analysis of unequally spaced data.The effects of the SNR、limited length and uneven time distribution of time series on the structure of its power spectrum are studied by simulate method.The result shows that the significance,uncertainty,side-lobes（false signal）,and the width（frequency resolution） of the main frequencies signal are influenced by the SNR,big sampling spaced and valid length of the time series respectively.
出处
《核电子学与探测技术》
CAS
CSCD
北大核心
2011年第6期702-705,共4页
Nuclear Electronics & Detection Technology
关键词
信号探测
傅立叶变换
参数估计
Signal detecting
Fourier transform
Parameters estimation
