Improving the response of a wheel speed sensor using an adaptive line enhancer

In this paper, an Adaptive Line Enhancer (ALE) based on a Frequency-Domain Least-Mean-Square (FDLMS) adaptive algorithm is used to predict the response of a wheel speed sensor embedded in a car undergoing performance tests. In this case, an ALE is used to predict a signal 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 experiment show that this device behaves as an adaptive notch filter whose null points are determined by the frequency of the noise and/or interference corrupting the electrical signal, and these also show a significant improvement in the signal-to-noise ratio at the system output.

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