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  5. Mixture of Experts Approach for Behavioral Modeling of RF Power Amplifiers
 
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Mixture of Experts Approach for Behavioral Modeling of RF Power Amplifiers

Author(s)
Brihuega, Alberto  
Abdelaziz, Mahmoud  
Anttila, Lauri  
Li, Yue  
Zhu, Anding  
Valkama, Mikko  
Uri
http://hdl.handle.net/10197/12389
Date Issued
2021-01-20
Date Available
2021-08-09T13:31:20Z
Abstract
Piece-wise (PW) behavioral models are commonly adopted when modeling RF power amplifiers (PAs) that exhibit strong amplitude dependent nonlinear distortion characteristics. In this paper, we consider a new PW model for PAs based on the mixture of experts (ME) approach. We first introduce the ME framework theory while also extend it such that it can be applied to model complex baseband signals and nonlinearities. Then, we show how the ME model allows overcoming some of the intrinsic shortcomings that existing PW behavioral models commonly exhibit, which translates into improved modeling accuracy. The proposed solution is validated with extensive RF measurements on a load modulated balanced PA at 2.1 GHz, excited by a 320 MHz OFDM signal, and is benchmarked against several state-of-the art PW models.
Type of Material
Conference Publication
Publisher
IEEE
Copyright (Published Version)
2021 IEEE
Subjects

Radio frequency

Wireless communicatio...

OFDM

Nonlinear distortion

Power amplifiers

Load modeling

Context modeling

DOI
10.1109/PAWR51852.2021.9375546
Web versions
https://www.radiowirelessweek.org/conferences/pawr/
Language
English
Status of Item
Peer reviewed
Journal
2021 IEEE Topical Conference on RF/Microwave Power Amplifiers for Radio and Wireless Applications, PAWR 2021
Conference Details
The 2021 IEEE Topical Conference on RF/Microwave Power Amplifiers for Radio and Wireless Applications (PAWR 2021), Virtual Conference, 17-20 January 2021
ISBN
9780738143675
This item is made available under a Creative Commons License
https://creativecommons.org/licenses/by-nc-nd/3.0/ie/
File(s)
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Mixture_of_Experts_for_DPD_prepub.pdf

Size

4.02 MB

Format

Adobe PDF

Checksum (MD5)

4ca9d7936084074b46749077d4f27d90

Owning collection
Electrical and Electronic Engineering Research Collection

Item descriptive metadata is released under a CC-0 (public domain) license: https://creativecommons.org/public-domain/cc0/.
All other content is subject to copyright.

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