Power Amplifier Predistortion Across Segmented Frequency Bands

Resolve Bottlenecks,
Find Innovative Solutions
Generate Solutions

Solution Overview

Problem

Power amplifiers in wireless communication devices exhibit nonlinearity, leading to distortion in RF output signals, especially at higher frequencies and in antenna arrays, which complicates pre-distortion compensation and results in degraded communication quality and increased bit errors.

Innovation Solution

A device and method that perform adaptive pre-distortion across various frequency bands using a pre-distortion circuit, power amplifier, and parameter obtaining circuit, which divide the frequency band into sections to obtain memory polynomial modeling information, reducing memory storage requirements and enhancing pre-distortion accuracy.

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 requirements increase significantly

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

Solution Approach 1:

The frequency band is divided into multiple frequency sections, and pre-distortion is applied selectively to sections where nonlinearity is significant. This segmentation allows the system to maintain communication quality in critical bands while reducing memory storage by not storing pre-distortion coefficients for all frequency bands.

Inventive Principle:
Principle #1Segmentation

2Measurement precision

If pre-distortion coefficients are stored for all frequency bands, then pre-distortion accuracy is improved, but device complexity increases

Engineering Contradiction:
Improvepre-distortion accuracyVSAvoiddevice complexity
Core Design Contradiction:
Measurement precisionVSDevice complexity

Solution Approach 1:

Different frequency sections are treated differently based on their nonlinearity characteristics. The system identifies and applies pre-distortion only to frequency sections where it is most beneficial, rather than uniformly across all bands, thereby optimizing accuracy while reducing complexity.

Inventive Principle:
Principle #3Local quality

3Reliability

If digital pre-distortion is used to reduce distortion in gain compression region, then bit errors are reduced, but the method becomes less effective at higher RF frequencies

Engineering Contradiction:
Improvebit error rateVSAvoidfrequency adaptability
Core Design Contradiction:
ReliabilityVSAdaptability or versatility

Solution Approach 1:

The system dynamically adapts the pre-distortion application based on the operating frequency band. At higher RF frequencies where mutual coupling affects power amplifiers, the system adjusts which frequency sections receive pre-distortion, making the solution effective across varying frequency conditions rather than being static.

Inventive Principle:
Principle #15Dynamics

Data Source

PatentUS11251755B2Device and method for compensating for nonlinearity of power amplifier
Publication Date: 2022.02.15 SAMSUNG ELECTRONICS CO LTD
  • US11251755B2 patent drawing
  • US11251755B2 patent drawing
  • US11251755B2 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.