Improving the response of wheel speed sensors by using robust and optimal signal processing techniques

In this paper, robust and optimal adaptive filtering is used to cancel noise and interference in wheel speed sensors. Noise and interference corrupt the information coming from the sensors, and it is very difficult to diminish their negative influence on the signal of interest by using the classical approach to filtering. 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 left the true signal unchanged from a practical point of view.