Title :
Adaptive detection using least-square filters
Author_Institution :
Commun. Group, Tadiran Ltd., Holon, Israel
Abstract :
The properties of least-square filters make them suitable for adaptive filtering in data communication systems. A Viterbi algorithm type of adaptive receiver is directly derived from the optimal receiver for an additive coloured Gaussian noise channel. It makes use of least-square filters to perform equalisation and noise cancellation and converges very quickly to the optimal receiver. The receiver adapts rapidly to changes in the impulse response of the channel or in the statistics of the noise.<>
Keywords :
adaptive filters; data communication systems; digital filters; filtering and prediction theory; least squares approximations; receivers; signal detection; telecommunication channels; Viterbi algorithm; adaptive detection; adaptive filtering; adaptive receiver; additive coloured Gaussian noise channel; data communication systems; equalisation; impulse response; least-square filters; noise cancellation; noise statistics; optimal receiver;
Journal_Title :
Communications, Speech and Vision, IEE Proceedings I
