Title :
Performance analysis of the modified maximum likelihood sequence detector in the presence of data-dependent noise
Author :
Lee, Inkyu ; Cioffi, John M.
Author_Institution :
Inf. Syst. Lab., Stanford Univ., CA, USA
Abstract :
The use of a modified maximum-likelihood sequence detector (MLSD) in a data-dependent noise channel is proposed. A new error metric based on nonstationary transition-dependent noise characteristics is derived. Simplified error metrics are suggested to reduce complexity. Performance is analyzed, noting that the error rate can be derived from a chi-square distribution. Simulation results show that the modified MLSD performs better than the normal MLSD in a jitter-dominant channel. It is shown that the logarithm term in the new error metric can be neglected without any loss of performance, resulting in reduced complexity
Keywords :
maximum likelihood estimation; random noise; signal detection; telecommunication channels; chi-square distribution; data-dependent noise; error metric; jitter-dominant channel; modified maximum likelihood sequence detector; nonstationary transition-dependent noise characteristics; Covariance matrix; Detectors; Differential equations; Eigenvalues and eigenfunctions; Gaussian noise; Maximum likelihood detection; Maximum likelihood estimation; Noise reduction; Performance analysis; White noise;
Conference_Titel :
Signals, Systems and Computers, 1992. 1992 Conference Record of The Twenty-Sixth Asilomar Conference on
Conference_Location :
Pacific Grove, CA
Print_ISBN :
0-8186-3160-0
DOI :
10.1109/ACSSC.1992.269078
