Extending the Tracking Range of a Phase-Locked Loop with an Artificial Neural Network
Nathan Alt and Brad Olson
Advisor: Dr. Gary Dempsey
A common device used in today's complex electronic systems is the phase-locked
loop. The applications range from radio and television to complex signal
reconstruction and satellite communication. However, the phase-locked loop's
design has limited it to a specific operating (tracking) range. The goal
of this project is to extend the tracking range of a classical phase-locked
loop. Our strategy involves the use of an artificial neural network to
extend the linear characteristics of a phase-locked loop. A single-chip
microcontroller will be used to implement the neural network. Our objective,
with the aid of the artificial neural network, is to double the tracking
range of a phase-locked loop.
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