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Automatic Neural Model Development for Power Amplifier

This paper presents a novel approach for the automatic development of neural network models tailored to power amplifiers. We explore the application of various interpolation methods to enhance model accuracy, focusing on neural network structure adaptation and hidden neuron integration. The study includes a comprehensive comparison of traditional and advanced modeling techniques, particularly addressing challenges like overlearning and underlearning. Our findings illustrate the critical role of selecting appropriate interpolation functions and data points for effective amplification modeling.

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Automatic Neural Model Development for Power Amplifier

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  1. Automatic Neural Model Development for Power Amplifier Na Weicong

  2. Content Example: Power Amplifier Problem & Solution Comparison & Conclusion

  3. Automatic Neural-Network Structure Adaptation with Interpolation Approaches Add training data & test data Yes Interpolation Approaches n, j Overlearning ? Training & Test Training & Test Add a hidden neuron Stop Goodlearning n-1, j Stop Add a hidden neuron Goodlearning Yes No Underlearning Underlearning Has it been Trained before? Add a hidden neuron No

  4. Example: MOSFET vs. Power Amplifier Id ··· Vgs Vds Pin= -5~+5 dBm Vdin= 2~3 V RL= 50~60 f= 2.1~2.8 kHz Vgs= 0~4 V Vds= 0~4 V

  5. Interpolation Algorithm • Select the type of interpolation formula. Linear Function, 2nd order Polynomial Function etc. • Select the points which can represent the interpolation region. These points are always the boundary points of the region. • Calculate the equation to obtain the parameters in the interpolation equation. • Substitute the coordinates of the interpolated point into the interpolation equation whose parameters we have known, then we will get the final result.

  6. Step1: Select the type of interpolation formula. MOSFET:2nd order polynomial function Power Amplifier: 3rd order polynomial function

  7. MOSFET:2nd order polynomial function Power Amplifier: 3nd order polynomial function k: the number of samples

  8. Step2: Select the points which can represent the interpolation region. MOSFET: k =5+4=9 6 4 5 2 4 0 64 0 2 4 Power Amplifier: k =64+16=81 16 19

  9. Step3: Calculate the equation to obtain the parameters in the interpolation equation. Problem: matrix is a singular matrix! Solution: Change 3rd order polynomial function!

  10. Comparison（Example：Power Amplifier） *tested by the same test data

  11. Thanks!

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