Pre-Distortion Pattern Recognition Without Undistorted Signal Access
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Solution Overview
Problem
Power amplifiers often operate non-linearly, causing distortion in both amplitude and phase of amplified signals, which can lead to inefficiencies and errors, and existing systems struggle to apply effective pre-distortion without access to undistorted signals.
Innovation Solution
A system and method for pre-distortion pattern recognition that includes a pre-distorter design block capable of identifying distortion from a finite set of symbols, allowing for dynamic pre-distortion calculation and application to the input signal, even without access to an undistorted signal, using parameter estimation and symbol lookup to match distorted symbols with a stored set of symbols.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Use of energy by moving object
If power amplifiers operate non-linearly to increase power output, then power efficiency is improved, but signal distortion in amplitude and phase increases
Solution Approach 1:
The system applies pre-distortion to the input signal before it enters the power amplifier. The pre-distorter modifies the signal characteristics in advance to counteract the expected non-linear distortion, so that after amplification the output signal is linearized. This preliminary action allows the amplifier to operate in a more efficient non-linear region while maintaining signal fidelity.
Solution Approach 2:
The system uses feedback from the power amplifier output to continuously update the pre-distortion parameters. The pre-distorter design block receives feedback about the actual distortion characteristics and dynamically adjusts the pre-distortion function to optimize linearization performance while maintaining power efficiency.
2Measurement precision
If pre-distortion is applied to linearize amplifier output, then signal accuracy is improved, but system complexity increases
Solution Approach 1:
The pre-distorter design block automatically identifies distortion characteristics from the amplifier output and generates appropriate pre-distortion parameters without requiring external calibration equipment or manual adjustment. The system self-configures by analyzing the association between output symbols and a finite set of possible symbols, making the complexity management automatic and adaptive.
Solution Approach 2:
The system represents the pre-distortion function using a finite set of parameters that can be efficiently stored and updated. By changing the representation from complex continuous functions to discrete parameter sets, the system reduces computational complexity while maintaining signal accuracy. The parameters are updated dynamically based on operating conditions.
3Reliability
If dynamic pre-distortion updating is implemented, then distortion compensation accuracy is improved, but computational load increases
Solution Approach 1:
The system updates pre-distortion parameters dynamically only when necessary, based on changes in operating conditions detected through symbol association analysis. Rather than continuously recalculating full pre-distortion functions, the system applies partial updates to specific parameters, reducing computational load while maintaining compensation accuracy when conditions change.
Solution Approach 2:
The system uses a finite set of pre-defined distortion models or parameter sets that can be quickly selected and applied. Instead of performing heavy real-time optimization calculations, the system chooses from a limited set of pre-computed solutions, significantly reducing computational requirements while maintaining adequate accuracy for varying operating conditions.
Data Source
AI summary
Systems and methods for pre-distortion pattern recognition are provided. In certain embodiments, the system includes an electronic device that provides an output signal, wherein the electronic device applies distortion to the output signal. The system also includes a pre-distorter that provides an input signal to the electronic device, wherein the pre-distorter applies a pre-distortion to the input signal before the electronic device receives the input signal. Further, the system includes a pre-distorter design block that identifies the distortion from an association between the output signal and a finite set of symbols and updates the pre-distortion based on the association.