Adaptive DPD Memory Degree for Faster Power Amplifier Linearization
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Solution Overview
Problem
Existing Digital Pre-Distorter (DPD) systems face challenges in responding quickly to changes such as input level, calculation speed, convergence speed, temperature, and environment due to their fixed memory compensation structure, affecting system stability and performance.
Innovation Solution
A method and apparatus that dynamically adjust the memory degree of the DPD based on the input average power level, allowing for adaptive complexity changes in the DPD system, including the use of an Average Power Meter and switch controller to determine the appropriate memory degree for non-linear sections, thereby simplifying the structure during low input average power conditions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If a fixed complicated memory compensation DPD is used regardless of input level, then the DPD structure provides comprehensive compensation coverage, but the calculation speed and convergence speed are reduced
Solution Approach 1:
The patent applies dynamics by making the memory degree of the DPD adjustable rather than fixed. The controller dynamically changes the memory degree based on the input signal characteristics (e.g., input average power level), allowing the DPD structure to adapt its complexity in real-time. This resolves the contradiction by enabling fast calculation speeds during low-power operations while maintaining comprehensive compensation coverage during high-power operations.
Solution Approach 2:
The patent changes the parameter of memory degree based on input conditions. By monitoring input average power levels and adjusting the memory degree accordingly (e.g., using lower memory degrees during low-power periods and higher memory degrees during high-power periods), the system optimizes calculation speed while preserving necessary compensation coverage when needed.
2Reliability
If a fixed complicated memory compensation DPD is used regardless of input level, then the DPD structure provides comprehensive compensation coverage, but the system stability and performance are adversely affected
Solution Approach 1:
The dynamic adjustment of memory degree based on input conditions allows the DPD to maintain system stability by avoiding excessive complexity during low-power operations. The controller stabilizes the system response by adapting the compensation level to match actual operating conditions, preventing performance degradation caused by fixed complicated structures.
3Reliability
If a fixed complicated memory compensation DPD is used regardless of input level, then the DPD structure provides comprehensive compensation coverage, but the DPD complexity remains high
Solution Approach 1:
The patent makes DPD complexity dynamic by adjusting the memory degree according to input signal characteristics. During low-power operations, the system uses lower memory degrees, reducing DPD complexity. During high-power operations, the system increases memory degree to maintain comprehensive compensation coverage, thus resolving the contradiction between coverage and complexity.
Solution Approach 2:
The system changes the memory degree parameter based on input average power levels. By monitoring power levels and adjusting memory degree accordingly, the patent reduces DPD complexity during low-power periods while maintaining necessary compensation coverage during high-power periods.
4Reliability
If a fixed complicated memory compensation DPD is used regardless of input level, then the DPD structure provides comprehensive compensation coverage, but the adaptation speed to changes is reduced
Solution Approach 1:
The dynamic memory degree adjustment enables fast adaptation to changes in input conditions. When the input signal characteristics change (e.g., power level transitions), the controller quickly adjusts the memory degree to match new conditions, improving adaptation speed while maintaining necessary compensation coverage.
Solution Approach 2:
By changing the memory degree parameter in response to input signal changes, the system achieves fast adaptation. The controller monitors input conditions and adjusts memory degree parameters to optimize performance under varying operating conditions, resolving the contradiction between coverage and adaptation speed.
Data Source
AI summary
An apparatus and a method for operating a memory compensation Digital Pre-Distortion (DPD) are provided. In the method for operating a memory compensation DPD system, an input signal is received. An input average power of the input signal is determined. When the input average power of the input signal belongs to a non-linear section of the input average power, DPD is performed on a previous signal corresponding to a memory degree set depending on at least one non-linear section of the input average power.