Joint Compensation of Nonlinear Distortion and Hardware Imperfection Using Neural Networks

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Neural network improves linearity and reduces complexity in digital predistortion, suggesting potential for advanced wireless communications.

The proposed neural network technique significantly enhances linearity in wireless communication systems.
Analysis shows improved adjacent channel power ratio and computational efficiency with the new approach.
Utilizing a real-valued time-delayed neural network, the method effectively addresses both PA nonlinearity and hardware imperfections.
These advancements highlight the method's suitability for real-time software-defined radio applications.

Dubey et al. (2025) studied this question.

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Neural network improves linearity and reduces complexity in digital predistortion, suggesting potential for advanced wireless communications.