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Author = Li, Gang;
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Displaying Results 1 - 2 of 2 on page 1 of 1
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1-b Observation for Direct-Learning-Based Digital Predistortion of RF Power Amplifiers
(2017)
Wang, Haoyu; Li, Gang; Zhou, Chongbin; Zhu, Anding; et al.
1-b Observation for Direct-Learning-Based Digital Predistortion of RF Power Amplifiers
(2017)
Wang, Haoyu; Li, Gang; Zhou, Chongbin; Zhu, Anding; et al.
Abstract:
In this paper, we propose a low-cost data acquisition approach for model extraction of digital predistortion (DPD) of RF power amplifiers. The proposed approach utilizes only 1-bit resolution analog-to-digital converters (ADCs) in the observation path to digitize the error signal between the input and output signals. The DPD coefficients are then estimated based on the direct learning architecture using the measured signs of the error signal. The proposed solution is proved to be feasible in theory and the experimental results show that the proposed algorithm achieves equivalent performance as that using the conventional method. Replacing high resolution ADCs with 1- bit comparators in the feedback path can dramatically reduce the power consumption and cost of the DPD system. The 1-bit solution also makes DPD become practically implementable in future broadband systems since it is relatively straightforward to achieve an ultra-high sampling speed in data conversion by using only sim...
http://hdl.handle.net/10197/8381
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Forward modeling assisted 1-Bit data acquisition based model extraction for digital predistortion of RF power amplifiers
(2017)
Wang, Haoyu; Li, Gang; Zhang, Yikang; Liu, Falin; Zhu, Anding
Forward modeling assisted 1-Bit data acquisition based model extraction for digital predistortion of RF power amplifiers
(2017)
Wang, Haoyu; Li, Gang; Zhang, Yikang; Liu, Falin; Zhu, Anding
Abstract:
2017 IEEE Topical Conference on RF/microwave Power Amplifiers for Radio and Wireless Applications (PAWR), Phoenix, Arizonia, USA, 15-18 January 2017
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.
Science Foundation Ireland
http://hdl.handle.net/10197/8492
Displaying Results 1 - 2 of 2 on page 1 of 1
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