Title :
PCM Data Reliability Monitoring Through Estimation of Signal-to-Noise Ratio
Author :
Gagliardi, Robert M. ; Thomas, C. Melvil
Author_Institution :
Univ. of Southern California, Los Angeles, CA
fDate :
6/1/1968 12:00:00 AM
Abstract :
Reliability monitoring of digital pulse-code modulation (PCM) data in coherent transmission systems can be based upon online estimation of signal-to-noise ratio (SNR) at the receiver. Maximum likelihood SNR estimation is analyzed to determine the structure of the estimator and its ability to monitor error rates with a given degree of confidence. In particular, relationships between estimation confidence intervals, observation time, word error rates, and PCM word structure are developed.
Keywords :
Communications technology; Digital modulation; Error analysis; Maximum likelihood decoding; Maximum likelihood detection; Maximum likelihood estimation; Monitoring; Phase change materials; Pulse modulation; Signal to noise ratio;
Journal_Title :
Communication Technology, IEEE Transactions on
DOI :
10.1109/TCOM.1968.1089851