Detection in impulsive noise based on robust whitening

Despite the widespread use of the additive Gaussian noise model, it has long been recognized that many important environments are distinctly nonGaussian. The authors present a detector which is designed to operate in a correlated plus impulsive noise environment. The detector robustly whitens the data and then uses a two-sided threshold test to determine the presence of impulsive samples. The impulsive samples are discarded and the remaining samples are used to detect the presence or absence of a signal using a matched filter. An approximate analysis is presented and simulations are used to demonstrate the effectiveness of this approach. >

[1]  J. Modestino.  Adaptive Detection of Signals in Impulsive Noise Environments , 1977, IEEE Trans. Commun..

[2]  John B. Thomas,et al.  On robust detection of discrete-time stochastic signals☆ , 1980 .

[3]  J. Miller,et al.  The Detection of Signals in Impulsive Noise Modeled as a Mixture Process , 1976, IEEE Trans. Commun..

[4]  D. Thomson,et al.  Robust-resistant spectrum estimation , 1982, Proceedings of the IEEE.

[5]  D. W. Tufts,et al.  Detection in correlated Gaussian plus impulsive noise , 1992 .

[6]  V. David VandeLinde,et al.  Robust detection of known signals , 1977, IEEE Trans. Inf. Theory.

[7]  R. Miller,et al.  A Strategy to Complete a Time Series with Missing Observations , 1984 .

[8]  Allan R. Wilks,et al.  A characterization of Arctic undersea noise , 1985 .

[9]  Guanrong Chen.  A simple treatment for suboptimal Kalman filtering in case of measurement data missing , 1990 .

[10]  Ludwik Kurz,et al.  Characterizing partition detectors with stationary and quasi-stationary Markov dependent data , 1986, IEEE Trans. Inf. Theory.

[11]  Ludwik Kurz,et al.  A robust approach to sequential detection , 1988, IEEE Trans. Acoust. Speech Signal Process..

[12]  L. Kurz,et al.  An Optimal Nonlinear Detector for Digital Data Transmission Through Non-Gaussian Channels , 1966 .

[13]  George V. Moustakides,et al.  Robust detection of signals in dependent noise , 1987, IEEE Trans. Inf. Theory.

[14]  Saleem A. Kassam,et al.  Asymptotically robust detection of a known signal in contaminated non-Gaussian noise , 1976, IEEE Trans. Inf. Theory.

[15]  Harold Vincent Poor,et al.  Narrowband interference suppression in impulsive channels , 1992 .

[16]  Donald W. Tufts,et al.  Insight into detection of deterministic and Gaussian signals in correlated plus impulsive noise environments , 1991, IEEE Trans. Signal Process..

[17]  H. Vincent Poor,et al.  Recursive algorithms for identification of impulsive noise channels , 1990, IEEE Trans. Inf. Theory.

[18]  Gary L. Wise,et al.  Asymptotic memoryless discrete-time detection of phi-mixing signals in phi-mixing noise , 1984, IEEE Trans. Inf. Theory.

[19]  Ludwik Kurz,et al.  A class of sequential robust partition detectors with dependent sampling , 1991 .

[20]  David Middleton.  Canonical Non-Gaussian Noise Models: Their Implications for Measurement and for Prediction of Receiver Performance , 1979, IEEE Transactions on Electromagnetic Compatibility.

[21]  H. Vincent Poor,et al.  Signal detection in the presence of weakly dependent noise--II: Robust detection , 1982, IEEE Trans. Inf. Theory.

[22]  D. Thomson,et al.  Robust Estimation of Power Spectra , 1979 .