Title :
Detection in correlated Gaussian plus impulsive noise
Author :
Efron, Adam I. ; Swaszek, Peter E. ; Tufts, Donald W.
Author_Institution :
Dept. of Electr. Eng. & Comput. Sci., Illinois Univ., Chicago, IL, USA
fDate :
10/1/1992 12:00:00 AM
Abstract :
A detector which is designed to operate in a correlated Gaussian-plus-impulsive-noise environment is presented. The detector whitens the data robustly 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
Keywords :
filtering and prediction theory; random noise; signal detection; approximate analysis; clairvoyant matched filter; correlated Gaussian plus impulsive noise; impulsive samples; matched filter; oversampling; performance analysis; simulations; two-sided threshold test; Additive noise; Computational modeling; Detectors; Gaussian noise; Noise reduction; Noise robustness; Statistical analysis; Statistical distributions; Testing; Working environment noise;
Journal_Title :
Aerospace and Electronic Systems, IEEE Transactions on
