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A New Functional Link Neural Network Model with Extended Legendre Polynomials for Digital Predistortion for LTE Applications

In this letter, a functional link neural network model is represented to describe the nonlinear characteristic of the wide-band power amplifiers. In the model, an extended Legendre polynomial is used to describe the nonlinearity characteristics of the radio frequency power amplifier. Compared with traditional artificial neural network models, the new model has simpler model structure and is more easily identified. The final experiment shows that the new model exhibits better performance than the traditional memory polynomial model in the DPD system as the adjacent channel power ratio improvement of the DPD system with the new model is more than -55dB, 5dB better than that of the DPD with the MP model.