Power Amplifier Predistortion Across Frequency Sections

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Solution Overview

Problem

Power amplifiers in wireless communication devices exhibit nonlinearity, leading to distortion in RF output signals, which degrades communication quality, especially at higher RF frequencies and in antenna arrays with mutual coupling, making it difficult to compensate using pre-distortion methods.

Innovation Solution

A device and method that adaptively perform pre-distortion on various frequency bands by using a parameter obtaining circuit to generate a pre-distorted input signal based on memory polynomial modeling information, reducing the storage space required for pre-distortion coefficients by dividing the frequency band into sections and using indirect learning structures.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Reliability

If pre-distortion is applied to compensate for power amplifier nonlinearity across the entire frequency band, then communication quality is improved, but memory storage space increases significantly

Engineering Contradiction:
Improvecommunication qualityVSAvoidmemory storage space
Core Design Contradiction:
ReliabilityVSQuantity of substance

Solution Approach 1:

The frequency band is divided into multiple frequency sections, and pre-distortion is selectively applied only to sections where nonlinearity compensation is needed. This segmentation approach reduces the overall memory storage space while maintaining communication quality in critical frequency regions.

Inventive Principle:
Principle #1Segmentation

Solution Approach 2:

Different pre-distortion strategies are applied to different frequency sections based on their specific characteristics. Frequency sections with higher nonlinearity receive full pre-distortion compensation, while sections with lower nonlinearity use reduced compensation, optimizing the balance between communication quality and memory usage.

Inventive Principle:
Principle #3Local quality

2Manufacturing precision

If pre-distortion is applied at higher RF frequencies to compensate for nonlinearity, then distortion is reduced, but the complexity of compensation increases due to mutual coupling in antenna arrays

Engineering Contradiction:
Improvesignal distortion levelVSAvoidcompensation complexity
Core Design Contradiction:
Manufacturing precisionVSDevice complexity

Solution Approach 1:

The frequency band is divided into multiple frequency sections, and pre-distortion is selectively applied only to sections where nonlinearity compensation is needed. This segmentation approach reduces the overall memory storage space while maintaining communication quality in critical frequency regions.

Inventive Principle:
Principle #1Segmentation

Solution Approach 2:

Different pre-distortion strategies are applied to different frequency sections based on their specific characteristics. Frequency sections with higher nonlinearity receive full pre-distortion compensation, while sections with lower nonlinearity use reduced compensation, optimizing the balance between communication quality and memory usage.

Inventive Principle:
Principle #3Local quality

Data Source

PatentUS11671059B2Device and method for compensating for nonlinearity of power amplifier
Publication Date: 2023.06.06 SAMSUNG ELECTRONICS CO LTD
  • US11671059B2 patent drawing
  • US11671059B2 patent drawing
  • US11671059B2 patent drawing

AI summary

A device configured to perform wireless communication includes: a pre-distortion circuit configured to generate a pre-distorted input signal by performing pre-distortion on an input signal based on a parameter set comprising a plurality of coefficients; a power amplifier configured to generate an output signal by amplifying an RF signal based on the pre-distorted input signal; and a parameter obtaining circuit configured to obtain second memory polynomial modeling information corresponding to an operating frequency band based on first memory polynomial modeling information corresponding to each of a plurality of frequency sections and obtain a parameter set according to an indirect learning structure by using the second memory polynomial modeling information.