Title :
Automatic bit pattern analysis of communication signals
Author :
Gaby, James E. ; McMillan, Stanton B.
Author_Institution :
Unisys Corp., Reston, VA, USA
Abstract :
An algorithm has been developed that will automatically determine the bit pattern of a binary communication signal (FSK, PSK, OOK). This algorithm uses edge detection, unsupervised clustering, and estimation techniques to extract the desired information from the communication signal. It has been tested against both synthetically generated modulating signals and digitized communication signals collected off the air
Keywords :
computerised pattern recognition; digital communication systems; frequency shift keying; FSK; automatic bit pattern analysis; binary communication signal; digitized communication signals; edge detection; synthetically generated modulating signals; unsupervised clustering; Clustering algorithms; Data mining; Digital modulation; Feature extraction; Frequency shift keying; Image edge detection; Information analysis; Pattern analysis; Phase shift keying; Signal analysis; Signal generators; Signal processing; Testing;
Conference_Titel :
Acoustics, Speech, and Signal Processing, 1990. ICASSP-90., 1990 International Conference on
Conference_Location :
Albuquerque, NM
DOI :
10.1109/ICASSP.1990.115810
