Adaptive noise canceler for narrowband/wideband interferences using higher-order statistics

  • Authors:

  • Dae C. Shin;Chrysostomos L. Nikias

  • Affiliations:

  • Signal & Image Processing Institute, Department of Electrical Engineering - Systems, University of Southern California, Los Angeles, CA;Signal & Image Processing Institute, Department of Electrical Engineering - Systems, University of Southern California, Los Angeles, CA

  • Venue:
  • ICASSP'93 Proceedings of the 1993 IEEE international conference on Acoustics, speech, and signal processing: digital speech processing - Volume III
  • Year:
  • 1993

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Abstract

A new higher-order statistics-based adaptive interference canceler is introduced to eliminate additive 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 is independent of Gaussian uncorrelated noise sources and insensitive to the reference signal statistics and the choice of step size. We demonstrate, by means of simulations, that the higher-order statistics-based adaptive algorithm performs more effectively than the second-order statistics-based adaptive algorithm not only for a single and multiple narrowband interferences with/without Gaussian uncorrelated noise sources but also for wideband (AM and FM) interferences.