A novel adaptive noise cancellation method for wheel speed signal of the anti-lock braking system/ anti-slip regulation（ABS/ASR） control system is proposed. Based on the spectrum distribution of vehicle＇s wheel spe...A novel adaptive noise cancellation method for wheel speed signal of the anti-lock braking system/ anti-slip regulation（ABS/ASR） control system is proposed. Based on the spectrum distribution of vehicle＇s wheel speed signal got from fast Fourier transform under various conditions, the high-pass filter is used to deal with original wheel speed signals sampled to get reference noise signal and the original wheel speed signals are used as adaptive filter＇s desired outputs. The difference between original signals and reference noise signals is used as the error signal for the adaptive FIR filter and also used as the whole adaptive noise cancellation system＇s final output. This method can obtain the noise signal on-line and is easy to use for. real control system, which is useful to improve the performance of integrate system ABS/ASR.展开更多
An important and hard problem in signal processing is the estimation of parameters in the presence of observation noise.In this paper, adaptive finite impulse response （FIR） filtering with noisy input-output data is...An important and hard problem in signal processing is the estimation of parameters in the presence of observation noise.In this paper, adaptive finite impulse response （FIR） filtering with noisy input-output data is considered and two developed bias compensation least squares （BCLS） methods are proposed.By introducing two auxiliary estimators, the forward output predictor and the backward output predictor are constructed respectively.By exploiting the statistical properties of the cross-correlation function between the least squares （LS） error and the forward/backward prediction error, the estimate of the input noise variance is obtained; the effect of the bias can thereafter be removed.Simulation results are presented to illustrate the good performances of the proposed algorithms.展开更多
基金Sponsored bythe National Natural Science Fundation of China (50122148)
文摘A novel adaptive noise cancellation method for wheel speed signal of the anti-lock braking system/ anti-slip regulation（ABS/ASR） control system is proposed. Based on the spectrum distribution of vehicle＇s wheel speed signal got from fast Fourier transform under various conditions, the high-pass filter is used to deal with original wheel speed signals sampled to get reference noise signal and the original wheel speed signals are used as adaptive filter＇s desired outputs. The difference between original signals and reference noise signals is used as the error signal for the adaptive FIR filter and also used as the whole adaptive noise cancellation system＇s final output. This method can obtain the noise signal on-line and is easy to use for. real control system, which is useful to improve the performance of integrate system ABS/ASR.
基金Supported by the National Natural Science Foundation of China for Distinguished Young Scholars (Grant No 60625104)the Ministerial Foundation of China (Grant No A2220060039)the Fundamental Research Foundation of BIT (Grant No 1010050320810)
文摘An important and hard problem in signal processing is the estimation of parameters in the presence of observation noise.In this paper, adaptive finite impulse response （FIR） filtering with noisy input-output data is considered and two developed bias compensation least squares （BCLS） methods are proposed.By introducing two auxiliary estimators, the forward output predictor and the backward output predictor are constructed respectively.By exploiting the statistical properties of the cross-correlation function between the least squares （LS） error and the forward/backward prediction error, the estimate of the input noise variance is obtained; the effect of the bias can thereafter be removed.Simulation results are presented to illustrate the good performances of the proposed algorithms.
