Tracking of bandpass signals using center-frequency adaptive filters

A class of constrained adaptive filters, called recursive center-frequency adaptive filters, is applied to the tracking of bandpass signals. For this application, these filters form a class of completely digital tracking filters which are shown to have several advantages over existing analog and semidigital tracking filters. A procedure of analyzing the tracking behavior of these filters using the ordinary differential equation approach is presented. The tracking performance of two examples of these filters is analyzed for step, ramp, and sinusoidal variations of the input signal center frequency, and these are shown to track the signals very effectively. The dependency of the performance on the parameters of the algorithm, transfer function of the filter, and the input signal is studied. >

[1]  R.V. Raja Kumar,et al.  A gradient algorithm for center-frequency adaptive recursive bandpass filters , 1985, Proceedings of the IEEE.

[2]  R. Pal,et al.  Performance analysis of the recursive center-frequency adaptive bandpass filters , 1989 .

[3]  H. R. Camenzind,et al.  Frequency-selective integrated circuits using phase-lock techniques , 1969 .

[4]  Lennart Ljung,et al.  A theoretical analysis of recursive identification methods , 1978, Autom..

[5]  George Kennedy Electronic Communication Systems , 1970 .

[6]  Jacek. M. Zurada,et al.  Self-Tuning Filter for Instrumentation , 1984, IEEE Transactions on Industrial Electronics.

[7]  B. Widrow,et al.  Adaptive noise cancelling: Principles and applications , 1975 .

[8]  K. Martin,et al.  Switched-capacitor building blocks for adaptive systems , 1981 .

[9]  Lennart Ljung,et al.  On positive real transfer functions and the convergence of some recursive schemes , 1977 .

[10]  D. M. Chabries,et al.  Adaptive enhancement of multiple sinusoids in uncorrelated noise , 1978 .

[11]  S. Kung,et al.  Adaptive notch filtering for the retrieval of sinusoids in noise , 1984 .

[12]  B. Friedlander A recursive maximum likelihood algorithm for ARMA line enhancement , 1982 .

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

[14]  Bhaskar D. Rao,et al.  Tracking characteristics of the constrained IIR adaptive notch filter , 1987, 26th IEEE Conference on Decision and Control.

[15]  E. Satorius,et al.  Adaptive enhancement of finite bandwidth signals in white Gaussian noise , 1983 .

[16]  R. C. Tausworthe,et al.  Theory and Practical Design of Phase-locked Receivers, Volume I , 1966 .

[17]  Samuel D. Stearns,et al.  An adaptive IIR structure for sinusoidal enhancement, frequency estimation, and detection , 1986, IEEE Trans. Acoust. Speech Signal Process..

[18]  K. Martin,et al.  A switched-capacitor realization of a spectral line enhancer , 1983 .

[19]  R. V. Raja Kumar,et al.  Recursive center-frequency adaptive filters for the enhancement of bandpass signals , 1986, IEEE Trans. Acoust. Speech Signal Process..

[20]  Thomas Kailath,et al.  Optimized lattice-form adaptive line enhancer for a sinusoidal signal in broad-band noise , 1981 .

[21]  Arye Nehorai,et al.  Adaptive comb filtering for harmonic signal enhancement , 1986, IEEE Trans. Acoust. Speech Signal Process..