频域积累耦合LMS的噪声消除方法  被引量:2

Denoising Method of Frequency Domain Accumulation Coupling LMS Algorithm

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作  者:吴连军 郝惠敏 WU Lian-jun;HAO Hui-min(School of Mechanical and Transportation Engineering,Taiyuan University of Technology,Taiyuan 030024,China;Key Laboratory of New Sensors and Intelligent Control of the Ministry of Education and Shanxi Province,Taiyuan 030024,China)

机构地区:[1]太原理工大学机械与运载工程学院,山西太原030024 [2]教育部暨山西省新型传感器与智能控制重点实验室,山西太原030024

出  处:《仪表技术与传感器》2019年第11期117-121,共5页Instrument Technique and Sensor

基  金:山西省重点研发计划项目-国际合作方面(201603D421009)

摘  要:针对低信噪比信号噪声消除困难的问题,文中提出一种利用频域积累耦合最小均方算法(LMS)实现信号降噪的方法,在利用频域积累提高信噪比的基础上,耦合LMS算法做进一步的去噪处理。仿真分析证明,频域积累耦合LMS算法提高了信号处理的精度和稳定性,最大程度地保留了信号细节特征,优于频域积累、Sym小波以及LMS算法。将其用于实验振动信号的处理,结果表明该方法可以准确提取特征信息。Aiming at the problem of noise elimination of low SNR signal,this paper provided a new method of frequency domain accumulation coupling LMS algorithm to realize noise reduction.Based on the frequency domain accumulation,signal-to-noise ratio was improved.Then,LMS algorithm was used to make further noise processing.The simulation analysis proves that frequency domain accumulation coupling LMS algorithm improves the accuracy and stability of signal processing,retains the signal detail features,and is superior to frequency domain accumulation,Sym wavelet and LMS algorithm.Finally,this new method was applied to the denoising of experimental vibration signals.The results show that this method can accurately extract feature information and is a good new method for noise elimination.

关 键 词:低信噪比 去噪 频域积累 最小均方算法 仿真 振动信号 

分 类 号:TN911[电子电信—通信与信息系统]

 

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