摘要
传统的弱信号处理方法不适于处理分布式光纤温度传感器输出的宽频带微弱信号。在对时域累积平均和双谱估计两种算法分别进行仿真分析的基础上,提出了将时域累积平均和双谱估计相结合的弱信号去噪方法,结果表明该方法可以有效地提取出有用信号,抑制噪声。
Traditional weak signal processing methods are not suitable for the broadband weak signal output from distributed fiber optic temperature sensor. On the basis of the simulate and analyze of time domain cumulative average and the bispectrum estimation, this paper proposed the weak signal de-noising method of combining time domain cumulative average with bispectrum estimation, the results show that this method can effectively extract the useful signal and bring down the noise.
出处
《南阳理工学院学报》
2012年第6期18-22,共5页
Journal of Nanyang Institute of Technology
基金
河南省郑州市2011年度科技计划攻关课题(112PPTGY218)
关键词
累积平均
双谱估计
微弱信号处理
去噪
cumulative average
bispectrum estimation
weak signal process
denoising
