A pole-radius-varying IIR notch filter with enhanced post-transient performance

Abstract In many applications of notch filters, high quality factor and short transient duration are simultaneously desired. Being contradictory in nature these two requirements pose design challenges. This paper presents an innovative application of a hyperbolic tangent sigmoid (HTS) function to vary the time-varying pole-radius (TVPR) of the pole-zero-constrained (PZC) IIR notch filter to optimally attain these two requirements together. Application of HTS function has allowed the pole-radius to maintain its desired minimum value during the initial phase of filtering, leading to faster transient suppression. This is followed by a steep rise in the pole-radius which allowed the notch filter to attain its desired quality factor soon after the transient suppression was achieved. Therefore, prime emphasis of the proposed notch filter design approach is on the significant reduction of the duration during which pole-radius makes a transition from its minimum to maximum designed values. The performance of proposed notch filter was assessed for transient suppression and selectivity responses in addition to removal of the power line interference from an ECG signal in the LabVIEW™ based simulation and hardware implementation environment. Based on significant improved performances over recent reported exponential TVPR PZC IIR notch filter in all the presented investigations, it is concluded that the proposed design is a better candidate for enhancing the post-transient performance of IIR PZC notch filter.

[1]  Li Tan,et al.  Pole-Radius-Varying IIR Notch Filter With Transient Suppression , 2012, IEEE Transactions on Instrumentation and Measurement.

[2]  Ying-Ren Chien,et al.  Design of GPS Anti-Jamming Systems Using Adaptive Notch Filters , 2015, IEEE Systems Journal.

[3]  Alireza R. Bakhshai,et al.  Time-Domain Signal Analysis Using Adaptive Notch Filter , 2007, IEEE Transactions on Signal Processing.

[4]  M. Tahernezhadi,et al.  An adaptive notch filter for howling cancellation , 1995 .

[5]  N.V. Thakor,et al.  Applications of adaptive filtering to ECG analysis: noise cancellation and arrhythmia detection , 1991, IEEE Transactions on Biomedical Engineering.

[6]  Alireza K. Ziarani,et al.  A nonlinear adaptive method of elimination of power line interference in ECG signals , 2002, IEEE Transactions on Biomedical Engineering.

[7]  Arye Nehorai A minimal parameter adaptive notch filter with constrained poles and zeros , 1985, IEEE Trans. Acoust. Speech Signal Process..

[8]  Maciej Niedzwiecki,et al.  Self-optimizing generalized adaptive notch filters - comparison of three optimization strategies , 2009, Autom..

[9]  J. Piskorowski Digital $Q$-Varying Notch IIR Filter With Transient Suppression , 2010, IEEE Transactions on Instrumentation and Measurement.

[10]  S. C. Dutta Roy,et al.  Design of IIR digital notch filters , 1997 .

[11]  Chien-Cheng Tseng,et al.  A technique for transient suppression of IIR notch filter , 1994, Proceedings of ICASSP '94. IEEE International Conference on Acoustics, Speech and Signal Processing.

[12]  J. Piskorowski,et al.  Powerline interference rejection from sEMG signal using notch filter with transient suppression , 2012, 2012 IEEE International Instrumentation and Measurement Technology Conference Proceedings.

[13]  P.S. Hamilton,et al.  A comparison of adaptive and nonadaptive filters for reduction of power line interference in the ECG , 1996, IEEE Transactions on Biomedical Engineering.

[14]  Jeffrey M. Hausdorff,et al.  Physionet: Components of a New Research Resource for Complex Physiologic Signals". Circu-lation Vol , 2000 .

[15]  Xiaobo Tan,et al.  A novel adaptive IIR notch filter for frequency estimation and tracking , 2010, 2010 3rd International Conference on Computer Science and Information Technology.

[16]  Li Tan,et al.  Novel adaptive IIR filter for frequency estimation and tracking [DSP Tips&Tricks] , 2009, IEEE Signal Process. Mag..

[17]  Y. Xiao,et al.  Steady-state analysis of a plain gradient algorithm for a second-order adaptive IIR notch filter with constrained poles and zeros , 2001 .

[18]  Nam Ik Cho,et al.  Suppression of narrow-band interference in DS-spread spectrum systems using adaptive IIR notch filter , 2002, Signal Process..

[19]  Phillip A. Regalia,et al.  An improved lattice-based adaptive IIR notch filter , 1991, IEEE Trans. Signal Process..

[20]  Peter Händel,et al.  Tracking analysis of an adaptive notch filter with constrained poles and zeros , 1994, IEEE Trans. Signal Process..

[21]  M. Ferdjallah,et al.  Adaptive digital notch filter design on the unit circle for the removal of powerline noise from biomedical signals , 1994, IEEE Transactions on Biomedical Engineering.

[22]  Jacek Piskorowski Suppressing harmonic powerline interference using multiple-notch filtering methods with improved transient behavior , 2012 .

[23]  I. Claesson,et al.  Notch Filtering of humming GSM mobile telephone noise , 2005, 2005 5th International Conference on Information Communications & Signal Processing.

[24]  Wang,et al.  Adaptive Harmonic IIR Notch Filter with Varying Notch Bandwidth and Convergence Factor , 2014 .

[25]  S. Ovaska,et al.  Design and implementation of efficient IIR notch filters with quantization error feedback , 1994 .

[26]  Jeerasuda Koseeyaporn,et al.  Indirect frequency estimation based on second-order adaptive FIR notch filter , 2009, Signal Process..

[27]  Y. T. Zhang,et al.  A fast recursive-least-squares adaptive notch filter and its applications to biomedical signals , 2006, Medical & Biological Engineering & Computing.

[28]  Alireza R. Bakhshai,et al.  Estimation of Power System Frequency Using Adaptive Notch Filter , 2005, 2005 IEEE Instrumentationand Measurement Technology Conference Proceedings.

[29]  S. Pei,et al.  Elimination of AC interference in electrocardiogram using IIR notch filter with transient suppression. , 1995, IEEE transactions on bio-medical engineering.

[30]  M.N.S. Swamy,et al.  LMS-optimal notch filters with improved transient performance , 1994, Proceedings of 1994 37th Midwest Symposium on Circuits and Systems.

[31]  Rodica Strungaru,et al.  Abdominal signals processing: Power line interference removing by applying notch filters , 2014, 2014 International Conference and Exposition on Electrical and Power Engineering (EPE).

[32]  Li Tan,et al.  Digital Signal Processing: Fundamentals and Applications , 2013 .