2020 IEEE Topical Conference on RF/Microwave Power Amplifiers for Radio and Wireless Applications (PAWR) 2020
DOI: 10.1109/pawr46754.2020.9035996
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Decomposed Vector Rotation Model Sizing by Hill-Climbing Heuristic for Digital Predistortion of RF Power Amplifiers

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Cited by 3 publications
(3 citation statements)
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“…The DVR model has been sized to find its optimal structure using the HC algorithm proposed in [38]. The indirect learning architecture (ILA), presented in Fig.…”
Section: Dpd Linearizationmentioning
confidence: 99%
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“…The DVR model has been sized to find its optimal structure using the HC algorithm proposed in [38]. The indirect learning architecture (ILA), presented in Fig.…”
Section: Dpd Linearizationmentioning
confidence: 99%
“…In this study, the neighborhood definition is inspired by the proposed one for the DVR model in [38]. The vector consists of 6 free parameters: [μ α φ ψ V GS,m V GS,p ].…”
Section: E Optimal Pruning Of Free Parameters In Hhscmentioning
confidence: 99%
“…Indeed in (8) there are 6 elementary types of basis functions, but may be some of them are not usefull and some other could be added. In [66] we have proposed an algorithm based on hill-climbing heuristic for the sizing of DVR models. This algorithm searches for a structure that optimizes a trade-off between the number of coefficients of the model and its modeling accuracy.…”
Section: Decomposed Vector Rotation Dvr-dpdmentioning
confidence: 99%