Power Amplifier Linearization Using Fuzzy Compensation Feedback
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Solution Overview
Problem
The calculation process for Digital Pre-Distortion (DPD) in power amplifiers is lengthy and complex, requiring significant computing resources due to the need to calculate the inverse function of nonlinear components, complicating the linearization operation.
Innovation Solution
A linearization method using fuzzy statistical processing and a defuzzification equation to calculate a compensation value, which is combined with an input signal and fed into an inverse model of an ideal power amplifier to simplify the linearization process, without directly calculating the inverse function of the power amplifier.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Use of energy by moving object
If Digital Pre-Distortion (DPD) is used to perform linearization of power amplifier, then power-added efficiency is improved, but calculation complexity and computing resources increase significantly
Solution Approach 1:
The patent replaces the complex inverse function calculation with a simple lookup table approach. Pre-calculated compensation values are stored in a table, and during operation, only simple table lookups and additions are performed. This trades off memory storage for computational simplicity, effectively using 'cheap' memory resources instead of 'expensive' computing resources.
Solution Approach 2:
The patent performs the complex inverse function calculations in advance and stores the results in a lookup table. During actual power amplifier operation, the linearization is achieved by simply looking up pre-computed values and adding them to the input signal, eliminating the need for real-time complex calculations.
2Manufacturing precision
If inverse function of nonlinear components is calculated during DPD process, then linearization is achieved, but processing time increases
Solution Approach 1:
The complex inverse function calculations are performed beforehand and results are stored in a lookup table. During real-time operation, only simple table lookups and additions are required, dramatically reducing processing time while maintaining linearization accuracy.
Solution Approach 2:
Instead of calculating the inverse function directly during operation, the patent creates a copy of the compensation values in a lookup table. The system then uses this copied data structure for rapid access during real-time signal processing, avoiding repeated complex calculations.
Data Source
AI summary
A linearization method for a power amplifier includes the following steps. An input signal and an error associated with the input signal are received. Fuzzy statistics is performed on the input signal and the error. A compensation value is calculated according to a fuzzy control table and a defuzzification equation. The compensation value is combined with the input signal to obtain an intermediate signal, and the intermediate signal is input into a power amplifier, so that the power amplifier outputs a first output signal. The first output signal from the power amplifier is fed back into an inverse model of an ideal power amplifier, so that the inverse model outputs a second output signal. A subtraction between the intermediate signal and the second output signal is calculated to obtain the error.