Envelope Tracking Converter Control Using Predicted Peak-Valley Features
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Solution Overview
Problem
Existing envelope tracking power supply systems face challenges with complex control signal generation processes that require significant hardware resources and time, leading to inefficiencies and high costs due to the use of filters and digital filtering calculations.
Innovation Solution
A method utilizing a neural network to predict envelope features directly from baseband data, generating control signals for low-bandwidth and high-bandwidth switching converters based on peak and valley points, reducing the need for filter calculations and hardware resources.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of energy
If a RF envelope signal is processed by a filter and constant reference values are taken in different defined time intervals to generate a reference signal, then the power supply efficiency of the radio frequency power amplifier is improved, but the algorithm becomes cumbersome and hardware calculation resources are increased
Solution Approach 1:
The patent extracts only the essential envelope information (peak values, valley points, and time points) from the RF envelope signal, eliminating the need for complex filtering operations. By taking out only the critical features rather than processing the entire signal, the system reduces hardware calculation resources while maintaining power supply efficiency.
Solution Approach 2:
The patent performs preliminary identification of peak values, valley points, and time points from baseband data before the actual control signal generation. This preliminary action prepares the essential information in advance, reducing the computational burden during real-time operation and eliminating the need for complex filtering hardware.
2Measurement precision
If digital filtering calculation and weighted average calculation of all envelope signals are performed through FPGA, then the reference signal is generated accurately, but the calculation workload of hardware is large and cost is high
Solution Approach 1:
The patent extracts only the essential envelope characteristics (peak values, valley points, and time points) rather than processing all envelope signals through complex filtering. This selective extraction maintains reference signal accuracy by focusing on the most critical features while dramatically reducing the calculation workload in FPGA.
Solution Approach 2:
Instead of performing complete digital filtering and weighted average calculations on all envelope signals, the patent applies partial action by only identifying key feature points (peaks and valleys). This partial processing approach achieves sufficient accuracy for control purposes while reducing hardware complexity and cost.
3Stability of the object's composition
If a traditional solution introduces an additional time delay in an input signal link to match the power supply waveform, then the signal synchronization is achieved, but the time delay increases and control responsiveness is reduced
Solution Approach 1:
The patent performs preliminary identification of time points corresponding to peak values and valley points from baseband data before the signal reaches the power amplifier. By preparing the control signal information in advance based on predicted envelope features, the system achieves signal synchronization without introducing additional time delays in the input signal link.
Solution Approach 2:
The patent creates a predicted envelope model based on baseband data that copies the essential timing information of the RF envelope signal. This copied timing information allows the control signal to be generated in advance, achieving synchronization without the need for time delay introduction.
Data Source
AI summary
Embodiments of the present application provide a method for predicting envelope features. The method includes: according to baseband data or data after modulation mapping, a peak value of a radio frequency envelope signal, a time point corresponding to the peak value, a valley point of the radio frequency envelope signal and a time point corresponding to the valley point are predicted; according to the valley point and the time point corresponding thereto, a generated reference value is sent to a low-bandwidth control signal generating module to obtain a control signal; according to adjacent valley point and peak point, and time points corresponding thereto, generated status information is sent to a high-bandwidth control signal generating module to obtain a control switch signal; and when in an ascending status, according to a key information string, a slope k of a connecting line is determined, and a corresponding filter inductor is turned on.