The USC Andrew and Erna Viterbi School of Engineering USC Signal and Image Processing Institute USC Ming Hsieh Department of Electrical Engineering University of Southern California

Technical Report USC-SIPI-220

“Adaptive Noise Canceler for Narrowband and Wideband Interferences Using Higher-Order Statistics”

by Dae C. Shin and Chrysostomos L. Nikias

September 1992

A new higher-order statistics-based adaptive interference canceler is introduced to eliminate narrowband and wideband interferences in environments where the interference is non-Gaussian and a reference signal, which is highly correlated with the interference, is available. The new scheme uses higher-order statistics between the primary and reference inputs and employs a gradient-type algorithm for updating the adaptive filter coefficients. The higher-order statistics-based filter is independent of Gaussian uncorrelated noises and insensitive to both the reference signal statistics and the step size parameter. It is demonstrated, by means of extensive simulations, that the higher-order statistics-based filter can eliminate both narrowband and wideband interferences effectively. Compared with the second-order statistics-based filter, the higher-order filter converges faster and has smaller excess errors. In addition, as expected, the higher-order statistics-based filter outperforms the second-order filter when Gaussian uncorrelated noises are present.

To download the report in PDF format click here: USC-SIPI-220.pdf (1.5Mb)