DocumentCode :
3294032
Title :
Simulation study of variable step-size LMS algorithm in frequency domain for de-noising from MRS signal
Author :
Baofeng, Tian ; Chuandong, Jiang ; Huicui, Hao ; Qingming, Duan ; Jun, Lin
Author_Institution :
Coll. of Instrum. & Electr. Eng., Jilin Univ., Changchun, China
fYear :
2011
fDate :
15-17 April 2011
Firstpage :
4472
Lastpage :
4475
Abstract :
Magnetic Resonance Sounding (MRS) equipment for groundwater exploration has high receiving sensitivity, and it is vulnerably affected by high-level power-line harmonic when worked near the city and village. In order to effectively extract the weak signal, variable step-size LMS algorithm in frequency domain is studied to eliminate noise based on the principle of adaptive noise cancellation. Simulation results show that the algorithm can increase the signal to noise ratio more than 10dB, and the fitting error of parameters is about 10% in the condition that the frequency offset between signals and power-line harmonic is greater than 7Hz and with different SNR and water content. Therefor the variable step-size LMS algorithm in frequency domain can obtained better de-noising effect and parameter extraction accuracy.
Keywords :
adaptive signal processing; geophysical signal processing; groundwater; least mean squares methods; magnetic resonance; signal denoising; adaptive noise cancellation; frequency domain; groundwater exploration; magnetic resonance sounding signal de-noising; variable step-size LMS algorithm; water content; Fitting; Frequency domain analysis; Harmonic analysis; Instruments; Least squares approximation; Nuclear magnetic resonance; Power harmonic filters; LMS algorithm; MRS signal; adaptive noise cancellation; frequency domain; variable step size;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Electric Information and Control Engineering (ICEICE), 2011 International Conference on
Conference_Location :
Wuhan
Print_ISBN :
978-1-4244-8036-4
Type :
conf
DOI :
10.1109/ICEICE.2011.5778358
Filename :
5778358
Link To Document :
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