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
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
通过分析水下目标辐射噪声的来源及各噪声源的谱特性,提出了用连续谱噪声叠加线谱噪声仿真水下目标辐射噪声的方法。根据水下目标辐射噪声的连续谱和线谱的功率谱特征,先后建立了连续谱和线谱模型。连续谱是由高斯白噪声先后通过低通滤...通过分析水下目标辐射噪声的来源及各噪声源的谱特性,提出了用连续谱噪声叠加线谱噪声仿真水下目标辐射噪声的方法。根据水下目标辐射噪声的连续谱和线谱的功率谱特征,先后建立了连续谱和线谱模型。连续谱是由高斯白噪声先后通过低通滤波器和LMS(Least Mean Square)自适应FIR滤波器处理后得到;线谱可通过叠加一组谐波分量获得。在Matlab/Simulink环境下仿真水下目标辐射噪声模型。仿真结果表明,该方法能够较为真实地仿真水下目标辐射噪声,且具有较强的灵活性和实用性。展开更多
针对Bershad算法中滤波器输出信号畸变的问题,提出了一种新的考虑输出饱和约束的自适应有限脉冲响应(Finite-impulse-response,FIR)滤波器设计方法,并给出了它的最小均方(Least mean square,LMS)算法实现。理论证明和数值仿真验证了本...针对Bershad算法中滤波器输出信号畸变的问题,提出了一种新的考虑输出饱和约束的自适应有限脉冲响应(Finite-impulse-response,FIR)滤波器设计方法,并给出了它的最小均方(Least mean square,LMS)算法实现。理论证明和数值仿真验证了本文算法的有效性。与Bershad算法相比,按照本文算法设计的自适应FIR滤波器不仅严格满足饱和约束条件,输出信号也光滑无畸变,从而克服了Bershad算法的滤波器输出畸变问题。展开更多
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.
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.
文摘通过分析水下目标辐射噪声的来源及各噪声源的谱特性,提出了用连续谱噪声叠加线谱噪声仿真水下目标辐射噪声的方法。根据水下目标辐射噪声的连续谱和线谱的功率谱特征,先后建立了连续谱和线谱模型。连续谱是由高斯白噪声先后通过低通滤波器和LMS(Least Mean Square)自适应FIR滤波器处理后得到;线谱可通过叠加一组谐波分量获得。在Matlab/Simulink环境下仿真水下目标辐射噪声模型。仿真结果表明,该方法能够较为真实地仿真水下目标辐射噪声,且具有较强的灵活性和实用性。
文摘针对Bershad算法中滤波器输出信号畸变的问题,提出了一种新的考虑输出饱和约束的自适应有限脉冲响应(Finite-impulse-response,FIR)滤波器设计方法,并给出了它的最小均方(Least mean square,LMS)算法实现。理论证明和数值仿真验证了本文算法的有效性。与Bershad算法相比,按照本文算法设计的自适应FIR滤波器不仅严格满足饱和约束条件,输出信号也光滑无畸变,从而克服了Bershad算法的滤波器输出畸变问题。
