Title :
Adaptive detection of signals in impulsive noise environments
Author_Institution :
Rensselaer Polytechnic Institute, Troy, New York
Abstract :
A detector structure and an adaptive algorithm are proposed for the reception of signals in noise backgrounds possessing broad-tailed probability distributions typical of impulsive noise. The adaptive detector combines the best features of linear matched filtering and hard-limiting receiver structures resulting in a small-signal SNR performance which is an improvement over either of these detectors alone. Furthermore, the adaptive detector is relatively easy to implement and provides efficient performance regardless of the actual noise distribution.
Keywords :
Adaptive algorithm; Adaptive filters; Adaptive signal detection; Detectors; Filtering; Matched filters; Nonlinear filters; Probability distribution; Signal detection; Working environment noise;
Conference_Titel :
Decision and Control including the 13th Symposium on Adaptive Processes, 1974 IEEE Conference on
Conference_Location :
Phoenix, AZ, USA
DOI :
10.1109/CDC.1974.270537