도움말 센터 도움말 센터

DPD 및 PA 모델링

디지털 전치왜곡 및 전력 증폭기 모델링에 AI 사용

신경망을 사용하여 PA(전력 증폭기)를 모델링합니다. PA에서 비선형성의 영향을 상쇄하기 위해, 신경망을 사용하여 입력 신호에 DPD(디지털 전치왜곡)를 적용할 수 있습니다.

NN-DPD deployed in a communications system

이 워크플로에 대한 설명은 AI for Digital Predistortion Design 항목을 참조하십시오.

도움말 항목

AI for Digital Predistortion Design

Example workflows for training, compressing, and using a deep learning network for digital predistortion design. (R2024a 이후)
- 단계 1: Data Preparation for Neural Network Digital Predistortion Design
- 단계 2: Neural Network for Digital Predistortion Design-Offline Training
- 단계 3: Neural Network for Digital Predistortion Design - Online Training
- 단계 4: Structurally Compress Neural Network DPD Using Projection
- 단계 5: HDL Neural Network Design for Digital Predistorter (Wireless HDL Toolbox)
- 단계 6: Deploy and Verify HDL Neural Network Based DPD on FPGA (SoC Blockset)
Power Amplifier Modeling using Neural Networks
Model a power amplifier (PA) using several different neural network (NN) architectures. (R2024a 이후)

추천 예제

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Data Preparation for Neural Network Digital Predistortion Design

Data Preparation for Neural Network Digital Predistortion Design

Prepare data for training a neural network digital predistortion (DPD) system. The DPD is used to offset the effects of nonlinearities in a power amplifier (PA).

R2024a 이후

라이브 스크립트 열기

Neural Network for Digital Predistortion Design-Offline Training

Neural Network for Digital Predistortion Design-Offline Training

Use a neural network, that is trained offline, to apply digital predistortion to offset the effects of nonlinearities in a power amplifier.

라이브 스크립트 열기

Neural Network for Digital Predistortion Design - Online Training

Neural Network for Digital Predistortion Design - Online Training

Use a neural network, that is trained online, to apply digital predistortion to offset the effects of nonlinearities in a power amplifier.

라이브 스크립트 열기

새로 만들기

Structurally Compress Neural Network DPD Using Projection

Structurally Compress Neural Network DPD Using Projection

Structurally compress a neural network DPD to reduce computational complexity and memory requirements using projection and principal component analysis.

R2024a 이후

라이브 스크립트 열기

새로 만들기

Power Amplifier Modeling using Neural Networks

Power Amplifier Modeling using Neural Networks

Model a power amplifier (PA) using several different neural network (NN) architectures.

R2024a 이후

라이브 스크립트 열기

HDL Neural Network Design for Digital Predistorter

HDL Neural Network Design for Digital Predistorter

Use neural-network-based (NN-based) digital predistorter (DPD) to compensate effects of nonlinearities in power amplifier.

Deploy and Verify HDL Neural Network Based DPD on FPGA

Deploy and Verify HDL Neural Network Based DPD on FPGA

Deploy neural-network-based digital predistorter (NN DPD) algorithm and verify using OFDM signal.