Neural Network Implementation of A Phase-Lock Loop
Jeff Alig and David Redfield
Advisor: Dr. Gary Dempsey
Artificial neural network's industrial applicability is being increasingly
realized worldwide. Applications that are not well suited for digital computer
algorithms are excellent candidates for neural network implementation.
These application exist in the areas of controls, pattern recognition,
signal processing, image processing, data compression, and other decision
making problems. In this project, we have designed a neural network, using
the backpropagation algorithm, to perform the exclusive OR function. This
network can be used to replace the phase detector in a phase-lock loop
to increase the lock and capture ranges. Also, we have designed and implemented
two discrete component phase lock loops that will be used as a benchmark
to test the performance of the neural network approach.
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