MLD and mse algorithms for adaptive detection of digital signals in the presence of interchannel interference
Abstract
Adaptive meansquare error (mse) and maximumlikelihood detection (MLD) algorithms for a dualchannel digital communication system in the presence of interchannel interference and white Gaussian noise are presented. The mse algorithm forms estimates of the transmitted symbols from a linear combination of received symbols using weights that minimize the mse between transmitted and estimated symbols. The nonlinear MLD algorithm minimizes the probability of symbol error by maximizing the probability of the received signal samples on the two channels over all possible transmitted symbol pairs. The probability of error is derived for the two algorithms when quadrature phaseshift keying (QPSK) is used as a modulation technique, and is compared with that of a dualchannel QPSK system having no compensation for the crosstalk.
 Publication:

IEEE Transactions on Information Theory
 Pub Date:
 September 1977
 Bibcode:
 1977ITIT...23..563N
 Keywords:

 Adaptive Control;
 Algorithms;
 Channels (Data Transmission);
 Intersymbolic Interference;
 Maximum Likelihood Estimates;
 RootMeanSquare Errors;
 Signal Detection;
 Crosstalk;
 Digital Systems;
 Error Analysis;
 Noise Reduction;
 Phase Shift Keying;
 Probability Theory;
 Transmission Efficiency;
 White Noise;
 Communications and Radar