DocumentCode :
774670
Title :
Improving the response of a wheel speed sensor by using frequency-domain adaptive filtering
Author :
Hernández, Wilmar
Author_Institution :
Dept. of Electron. & Instrum., Univ. Inst. for Automobile Res., Madrid, Spain
Volume :
3
Issue :
4
fYear :
2003
Firstpage :
404
Lastpage :
413
Abstract :
In this paper, a frequency-domain least-mean-square adaptive filter is used to cancel noise in a wheel speed sensor embedded in a car under performance tests. In this case the relevant signal is buried in a broad-band noise background, where we have little or no prior knowledge of the signal or noise characteristics. The results of the experiments show that the signal of interest and the noise (all forms of interference, deterministic, as well as stochastic) share the same frequency band and that the filter used significantly reduced the noise corrupting the information from the sensor while it left the true signal unchanged from a practical point of view. In this paper, a signal-to-noise ratio improvement higher than 40 dB is achieved. The results of the experiment show the importance of using digital signal processing when dealing with a signal corrupted by noise.
Keywords :
adaptive filters; angular velocity measurement; automotive electronics; electric sensing devices; least mean squares methods; signal denoising; LMS adaptive filter; adaptive noise canceler; broad-band noise background; car performance tests; deterministic interference; digital signal processing; frequency-domain adaptive filtering; least-mean-square adaptive filter; noise cancellation; proximity sensor; signal-to-noise ratio improvement; stochastic interference; wheel speed sensor response improvement; Adaptive filters; Background noise; Frequency; Interference; Noise cancellation; Noise reduction; Sensor phenomena and characterization; Stochastic resonance; Testing; Wheels;
fLanguage :
English
Journal_Title :
Sensors Journal, IEEE
Publisher :
ieee
ISSN :
1530-437X
Type :
jour
DOI :
10.1109/JSEN.2003.815940
Filename :
1226632
Link To Document :
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