Adaptive Predistortion Correction for Cross-Band Power Amplifiers
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Solution Overview
Problem
Current digital pre-distortion technologies face challenges in maintaining system robustness, particularly under cross-band ultra-wideband conditions, leading to abrupt power changes and abnormal frequency spectra due to the inability to update linearization parameters in real time, causing damage to power amplifiers and compromising system reliability.
Innovation Solution
An apparatus and method for nonlinear system distortion correction that includes a robustness signal source generator, an adaptive device for generating correction parameters, and a pre-corrector for performing pre-correction processing on the main link signal, using a robustness signal to improve the stability of the system by adjusting linearization parameters dynamically.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Use of energy by moving object
If digital pre-distortion technology is used for power amplifier linearization, then power amplifier efficiency is improved, but system robustness deteriorates under cross-band ultra-wideband conditions due to inability to update linearization parameters in real time
Solution Approach 1:
The patent implements dynamic updating of linearization parameters by introducing a robustness signal that enables real-time adaptation of pre-distortion coefficients. The system transitions from static offline parameter extraction to dynamic online adjustment, allowing the pre-distorter to adapt to changing signal conditions in cross-band ultra-wideband applications.
Solution Approach 2:
The patent introduces a feedback mechanism where a robustness signal is generated based on the actual output signal characteristics and fed back to update the linearization parameters. This closed-loop feedback enables the system to monitor and adjust pre-distortion parameters in real-time, preventing abrupt power changes and maintaining system robustness.
2Device complexity
If offline self-adaptive iterative technique is used for pre-distortion, then device complexity is reduced, but measurement precision of linearization parameters deteriorates under dynamic signal conditions
Solution Approach 1:
The patent performs preliminary extraction of linearization parameters using offline self-adaptive iterative techniques, then uses a robustness signal to trigger preliminary updates when signal conditions change. This two-stage approach maintains low complexity while improving accuracy by updating parameters proactively before significant performance degradation occurs.
3Device complexity
If single frequency band linearization parameters are used for cross-band signals, then device complexity is reduced, but harmful factors increase due to abrupt power changes and abnormal frequency spectra
Solution Approach 1:
The patent creates a universal robustness signal generation mechanism that works across multiple frequency bands and signal types. The robustness signal serves multiple functions: monitoring signal quality, detecting configuration changes, and triggering parameter updates. This multi-functional approach enables the system to handle cross-band ultra-wideband signals without requiring separate processing for each band, reducing complexity while preventing harmful effects.
Data Source
AI summary
The present document discloses an apparatus and method for nonlinear system distortion correction. The apparatus includes: apparatus for nonlinear system distortion correction including: a robustness signal source generator, arranged to generate a robustness signal provided to an adaptive device; the adaptive device, arranged to collect a main link signal output by a signal generator and a feedback signal returned by the main link signal via a feedback link, and generate a correction parameter according to the main link signal, the feedback signal and the robustness signal; and a pre-corrector, arranged to according to the correction parameter perform pre-correction processing on the main link signal output by the signal generator.