Power Amplifier Behavioral Modeling for Memory and Load-Pull Effects
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Solution Overview
Problem
Existing behavioral models for power amplifiers in active phased array antennas fail to accurately simulate memory effects and load-pull conditions, especially at high modulation bandwidths, leading to inaccurate simulations and long computation times.
Innovation Solution
A method is introduced to enhance behavioral models with load-pull capability by modeling memory effects and mismatch conditions using a neural network-based approach, incorporating X-parameters and a novel reference signal framework that accounts for time-varying transfer characteristics and load-dependent interactions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If detailed circuit schematics are used for simulation, then simulation accuracy is improved, but simulation time increases significantly
Solution Approach 1:
The patent creates behavioral models that copy the essential input-output behavior of power amplifiers without requiring detailed circuit schematics. These models replicate the functional characteristics through mathematical relationships and memory effects, providing accurate simulation results while avoiding the computational complexity of full circuit-level simulations.
Solution Approach 2:
The patent transforms the simulation approach by changing from fixed circuit parameters to dynamic behavioral parameters that adapt to different operating conditions. The models use time-varying parameters to capture memory effects and load-pull conditions, enabling accurate simulation under modulated signals without requiring detailed circuit knowledge.
2Productivity
If behavioral models without load-pull capability are used, then simulation speed is improved, but simulation accuracy under mismatch conditions deteriorates
Solution Approach 1:
The patent introduces dynamic load-pull capability into behavioral models by making the model parameters dependent on load conditions. The models adapt their behavior based on impedance mismatches and load variations, enabling accurate simulation under realistic operating conditions while maintaining computational efficiency through the behavioral modeling framework.
3Loss of time
If existing behavioral models are used at high modulation bandwidths, then computation time is reduced, but accuracy in capturing memory effects deteriorates
Solution Approach 1:
The patent incorporates memory effects directly into the behavioral model structure through pre-defined mathematical relationships that account for past signal states. The models include memory polynomials and time-varying parameters that automatically capture memory effects without requiring additional computational steps during simulation, maintaining fast computation while improving accuracy at high modulation bandwidths.
Data Source
AI summary
Methods, systems, and computer readable media for behavioral modelling of circuits. An example method includes extracting a model from a plurality of measurements of a power amplifier. The method includes performing simulation of a circuit including the power amplifier under one or more modulated operating conditions. Performing the simulation includes modelling one or more memory effects of the power amplifier and modelling one or more mismatch conditions of the power amplifier under the modulated operating conditions.