Improving compensation of nonlinear distortions in OFDM system using recurrent neural network with conjugate gradient algorithm
[ 1 ] Instytut Elektroniki i Telekomunikacji (IEt), Wydział Elektryczny, Politechnika Poznańska | [ P ] employee
2004
paper
english
- predistorter
- OFDM
- nonlinear HPA
- neural network
EN The paper presents a neural network predistortion technique compensating for nonlinear distortions caused by an HPA (high power amplifier) cascaded with a filter in an OFDM (orthogonal frequency division multiplexing) system. It is confirmed by computer simulation that the proposed approach produces a faster convergence speed than the conventional backpropagation algorithm. The predistortion technique based on a neural network is very attractive from the implementation point of view, because of the low amount of RAM required and rapid convergence from a blind start.
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volume 1