Digital adaptive receiver employing maximum-likelihood sequence estimation with neural networks
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United States of America Patent
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Dec 5, 1989
Grant Date -
N/A
app pub date -
Jun 1, 1987
filing date -
Jun 1, 1987
priority date (Note) -
Expired
status (Latency Note)
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Abstract
A maximum-likelihood sequence estimator receiver includes a matched filter connected to a digital transmission channel and a sampler for providing sampled signals output by the matched filter. The sampled signals are input to an analog neural network to provide high-speed outputs representative of the transmission channel signals. The neural network outputs are also provided as inputs to a coefficient estimator which produces coefficients for feedback to the matched filter. For time-varying transmission channel characteristics, the coefficient estimator provides a second coefficient output which is utilized for changing the interconnection strengths of the neural network connection matrix to offset the varying transmission channel characteristics.
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