Forward modeling assisted 1-Bit data acquisition based model extraction for digital predistortion of RF power amplifiers

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Title: Forward modeling assisted 1-Bit data acquisition based model extraction for digital predistortion of RF power amplifiers
Authors: Wang, Haoyu
Li, Gang
Zhang, Yikang
Liu, Falin
Zhu, Anding
Permanent link: http://hdl.handle.net/10197/8492
Date: 18-Jan-2017
Abstract: In this paper, a low-cost data acquisition approach with novel forward modeling is proposed for model extraction of digital predistortion (DPD) of RF power amplifiers (PA). Compared to the existing 1-bit DPD solution, the proposed approach employs a new loss function using only 1-bit resolution error signal to extract the forward model and the coefficients of DPD model can be extracted afterwards based on the estimated PA output. The proposed solution avoids the calculation of step size in the existing approach, and the convergence is guaranteed due to the convexity of the loss function. The experimental results show that the proposed algorithm achieves equivalent linearization performance as that using the conventional method.
Funding Details: Science Foundation Ireland
Type of material: Conference Publication
Publisher: IEEE
Copyright (published version): 2017 IEEE
Keywords: Power amplifier;Analog-to-digital converter;Digital predistortion;Model extraction
DOI: 10.1109/PAWR.2017.7875573
Language: en
Status of Item: Peer reviewed
Conference Details: 2017 IEEE Topical Conference on RF/microwave Power Amplifiers for Radio and Wireless Applications (PAWR), Phoenix, Arizonia, USA, 15-18 January 2017
Appears in Collections:Electrical and Electronic Engineering Research Collection

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