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A Noise‐Free Adaptive Transversal Notch Filter Using the SSCF Algorithm with Decorrelation Parameter
Author(s) -
KOBAYASHI MASAKI,
NAGASAKA YASUNORI,
ITOH YOSHIO
Publication year - 2015
Publication title -
electronics and communications in japan
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.131
H-Index - 13
eISSN - 1942-9541
pISSN - 1942-9533
DOI - 10.1002/ecj.11717
Subject(s) - decorrelation , adaptive filter , algorithm , transversal (combinatorics) , filter (signal processing) , band stop filter , noise (video) , kernel adaptive filter , control theory (sociology) , signal (programming language) , function (biology) , correlation function (quantum field theory) , mathematics , computer science , digital filter , low pass filter , statistics , mathematical analysis , artificial intelligence , spectral density , control (management) , evolutionary biology , image (mathematics) , computer vision , biology , programming language
SUMMARY Adaptive notch filters composed of an adaptive transversal filter have the limitation of bias error resulting from the broadband signal included in the input signal. In this paper, we propose an adaptive notch filter with a smaller bias error using a new adaptive algorithm based on the square sum of the correlation function with decorrelation parameter (SSCF‐DP). The cost function of the SSCF‐DP algorithm is the square sum of the cross‐correlation coefficient of the input and output error signal with the decorrelation parameter. The analytical results and the features described above are verified by computer simulation.