Power amplifier operating characteristic simulation method and device, computer equipment and medium
Through the neural network based on attention mechanism, the timing data of the power amplifier is trained and tested, and the problems of insufficient simulation accuracy and low efficiency of the nonlinear region of the power amplifier in the prior art are solved, and higher simulation accuracy and efficiency are achieved.
Patent Information
- Application Number
- CN202411762798.3
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2024-12-03
- Publication Date
- 2025-03-25
- Estimated Expiration
- 2044-12-03
AI Technical Summary
The prior art simulates inadequate accuracy and low efficiency in the nonlinear region of the power amplifier.
By obtaining multiple different input data, time series data for continuous time periods of different lengths are intercepted and divided into training data and test data. Based on the training data, a neural network based on attention mechanism is trained to obtain a nonlinear characteristic model with power amplifier. Then, based on the test data, a simulation model of the power amplifier operating characteristics completed by the test was obtained. Finally, the real-time input data is obtained and the model is used for simulation to obtain the simulation output of the power amplifier's operating characteristics.
It significantly improves the simulation accuracy and efficiency of the power amplifier in the nonlinear region, accurately captures its complex dynamic characteristics, and analyzes the complex relationship between the input signal and the output signal.