Digital Doherty Power Amplifier Autotuning for Efficiency and Linearity

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Solution Overview

Problem

Traditional analog Doherty Power Amplifiers (DPAs) face limitations in energy efficiency and operational bandwidth due to fixed configurations and the need for manual tuning, which is not adaptable to varying input conditions and circuit states.

Innovation Solution

A Digital Doherty Power Amplifier (DDPA) system with a learning-based autotuning method that uses adaptive control algorithms to optimize control parameters, allowing for flexible operation across different bandwidths, modulation formats, and power levels, and balances efficiency and linearity requirements.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Device complexity

If traditional analog DPA with fixed configuration is used, then device complexity is reduced, but adaptability to varying input conditions and circuit states deteriorates

Engineering Contradiction:
Improvecircuit configuration complexityVSAvoidadaptability to varying input conditions
Core Design Contradiction:
Device complexityVSAdaptability or versatility

Solution Approach 1:

The patent implements dynamic adaptability by introducing digital signal processing components and control circuits that continuously monitor circuit states (temperature, bias conditions) and input signal characteristics, then adjust operating parameters in real-time. This transforms the fixed analog configuration into a dynamic system that adapts to varying conditions while maintaining manageable complexity through systematic control architecture.

Inventive Principle:
Principle #15Dynamics

Solution Approach 2:

The system changes operating parameters (bias voltages, signal routing, modulation depth) based on detected circuit states and input conditions. By dynamically adjusting these parameters rather than fixing the entire circuit configuration, the system achieves adaptability without proportionally increasing overall device complexity.

Inventive Principle:
Principle #35Parameter changes

2Manufacturing precision

If manual tuning is performed to optimize PA performance, then manufacturing precision is improved, but ease of operation deteriorates

Engineering Contradiction:
Improveoptimal control parameter accuracyVSAvoidtuning process simplicity
Core Design Contradiction:
Manufacturing precisionVSEase of operation

Solution Approach 1:

The system incorporates automatic tuning capabilities where control circuits autonomously optimize operating parameters based on real-time monitoring of circuit states and performance metrics. This self-service mechanism eliminates the need for manual intervention while maintaining high precision, thereby improving ease of operation without sacrificing manufacturing precision.

Inventive Principle:
Principle #25Self-service

Solution Approach 2:

The patent implements feedback loops that continuously monitor output performance and circuit conditions, then automatically adjust control parameters to maintain optimal operation. This closed-loop feedback system replaces manual tuning with automated precision control, significantly improving ease of operation while preserving or enhancing parameter accuracy.

Inventive Principle:
Principle #23Feedback

3Adaptability or versatility

If adaptive control algorithms are implemented in DDPA system, then adaptability to circuit states and environmental changes is improved, but device complexity increases

Engineering Contradiction:
Improveadaptability to environmental changesVSAvoidcontrol circuit complexity
Core Design Contradiction:
Adaptability or versatilityVSDevice complexity

Solution Approach 1:

The patent implements a universal control architecture that handles multiple functions (temperature compensation, bias optimization, signal conditioning) through integrated digital signal processing blocks. By designing multi-functional control components rather than separate dedicated circuits for each function, the system achieves high adaptability to environmental changes while controlling overall device complexity through functional integration.

Inventive Principle:
Principle #6Universality (Multi-functionality)

Data Source

PatentUS10454427B2Power amplifier system and learning-based autotuning method thereof
Publication Date: 2019.10.22 MITSUBISHI ELECTRIC RESEARCH LABORATORIES INC
  • US10454427B2 patent drawing
  • US10454427B2 patent drawing
  • US10454427B2 patent drawing

AI summary

A Digital Power-Amplifier (DPA) system includes a power amplifier (PA) circuit having control inputs and an output for generating output signals, and an adaptive control circuit that comprises an input interface, an output interface, a memory storing an adaptive control algorithm and a processor performing instructions based on the adaptive control algorithm in connection with the memory, wherein the input interface receives input-state signals and output signals of the DPA circuit, wherein the adaptive control algorithm determines, in response to the input-state signals and the output signals, control parameters of control signals transmitted to the control inputs from the output interface for controlling operations of the DPA circuit.