Research of FTRLS Algorithm in Acoustic Signal De-noising
Journal of Electrical and Electronic Engineering
Volume 5, Issue 5, October 2017, Pages: 186-191
Received: Nov. 16, 2017; Published: Nov. 20, 2017
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Sun Yanpeng, Department of Electronic Information Engineering, Shenyang Aerospace University, Shenyang, China
Zuo Chenmeng, Department of Electronic Information Engineering, Shenyang Aerospace University, Shenyang, China
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In the acoustic temperature measurement system, the acoustic emission signal is easily affected by the wind field, the ambient noise and so on during the propagation process. Coupled with its own reflection, diffraction and scattering properties, the sensor receive the acoustic signals that are weak, difficult to identify, and even submerged in the background noise. In order to solve the above problem, this paper combines the principle of adaptive filter, and the FTRLS adaptive filter algorithm is designed to deal with linear frequency modulation signal, and the simulation experiment was carried out by MATLAB software. The results show that the noise-disturbing chirp signal can be effectively restored to a certain extent after denoising.
The Acoustic Temperature Measurement System, FTRLS Adaptive Filter Algorithm, Chirp Signal, Denoising
To cite this article
Sun Yanpeng, Zuo Chenmeng, Research of FTRLS Algorithm in Acoustic Signal De-noising, Journal of Electrical and Electronic Engineering. Vol. 5, No. 5, 2017, pp. 186-191. doi: 10.11648/j.jeee.20170505.15
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