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Pere L. Gilabert - IEEE Xplore Author Profile
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Pere L. Gilabert

Also published under: P. L. Gilabert, P. Gilabert, Pere Gilabert, Pere Ll Gilabert

Publications
72
Citations
818
Publications by Year
20042025
Co-Authors:
Show All Co-Authors (49)
Image of author Pere L. Gilabert

Pere L. Gilabert

Also published under: P. L. Gilabert, P. Gilabert, Pere Gilabert, Pere Ll Gilabert

Affiliation

Dept. Signal Theory and Commun
Universitat Politècnica de Catalunya Castelldefels
Barcelona, Spain

Publication Topics

Biography

Pere L. Gilabert (Senior Member, IEEE) received the M.Sc. degree in telecommunication engineering from the Universitat Politècnica de Catalunya (UPC), Barcelona, Spain, in 2002, and the Ph.D. degree (Hons.) from the Department of Signal Theory and Communications, UPC, in 2008. He developed his master’s thesis at the University of Rome “La Sapienza,” Rome, Italy, with an Erasmus Exchange Grant.,He is currently an Associate Professor with the Castelldefels School of Telecommunications and Aerospace Engineering. His research activities are in the field of linearization techniques and digital signal processing solutions for highly efficient transmitter architectures.(Based on document published on 9 November 2022).
Publications
72
Citations
818
Publications by Year
20042025
Co-Authors:
Show All Co-Authors (49)
Author's Published Works

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ANN Versus Cascaded Behavioral Models for DPD Linearization of Wideband Dual-Input PAs

Raúl Criado;Wantao Li;Gabriel Montoro;William Thompson;Kevin Chuang;Pere L. Gilabert

2025 IEEE Topical Conference on RF/Microwave Power Amplifiers for Radio and Wireless Applications (PAWR)
Year: 2025 | Conference Paper |
This paper offers a thorough comparison of two families of digital predistortion (DPD) behavioral models used for the linearization of high-efficiency dual-input wideband power amplifiers. Specifically, N-stage cascaded (CC) models are compared with artificial neural networks (ANNs) models in terms of linearization performance and computational complexity. The DPD models are designed balancing the...Show More

ANN Versus Cascaded Behavioral Models for DPD Linearization of Wideband Dual-Input PAs

Raúl Criado;Wantao Li;Gabriel Montoro;William Thompson;Kevin Chuang;Pere L. Gilabert

Year: 2025 | Conference Paper |

Model-Order Reduction of Multistage Cascaded Models for Digital Predistortion

Raúl Criado;Wantao Li;William Thompson;Gabriel Montoro;Kevin Chuang;Pere L. Gilabert

IEEE Journal of Microwaves
Year: 2025 | Volume: 5, Issue: 1 | Journal Article |
This paper explores the benefits of utilizing multistage cascaded (CC) behavioral models for digital predistortion (DPD) linearization of wideband high-efficiency power amplifiers (PAs). To reduce the computational complexity of these multistage CC behavioral models, a model-order reduction technique based on a greedy algorithm is proposed. The advantages of employing CC DPD models with gradient d...Show More

Model-Order Reduction of Multistage Cascaded Models for Digital Predistortion

Raúl Criado;Wantao Li;William Thompson;Gabriel Montoro;Kevin Chuang;Pere L. Gilabert

Year: 2025 | Volume: 5, Issue: 1 | Journal Article |

Design and Characterization of an MMIC Current Mode Outphasing Power Amplifier

Aleksander Bogusz;Wantao Li;Jonathan Lees;Roberto Quaglia;Gabriel Montoro;Pere L. Gilabert;Steve Cripps

2024 IEEE/MTT-S International Microwave Symposium - IMS 2024
Year: 2024 | Conference Paper |
This paper presents a power amplifier architecture based on outphasing. Both active devices are operated as current sources loaded by a single-ended load. The combination of phase and amplitude control allows for maintaining a constant voltage and, therefore, high efficiency on the devices' output. Output series compensation reactances reduce the imaginary part of the modulated load and improve ef...Show More

Design and Characterization of an MMIC Current Mode Outphasing Power Amplifier

Aleksander Bogusz;Wantao Li;Jonathan Lees;Roberto Quaglia;Gabriel Montoro;Pere L. Gilabert;Steve Cripps

Year: 2024 | Conference Paper |

On the Parameter Identification of Cascaded Behavioral Models for Wideband Digital Predistortion Linearization

Raül Criado;Wantao Li;William Thompson;Gabriel Montoro;Kevin Chuang;Pere L. Gilabert

2024 IEEE/MTT-S International Microwave Symposium - IMS 2024
Year: 2024 | Conference Paper |
Cited by: Papers (1)
This paper discusses the best identification approach to estimate the parameters of cascaded (CC) behavioral models for digital predistortion (DPD) linearization of high efficient wideband power amplifiers. The commonly used least squares (LS) identification method is compared to the proposed gradient descent (GD) -based optimization approach. Experimental results considering a 5G new radio (NR) t...Show More

On the Parameter Identification of Cascaded Behavioral Models for Wideband Digital Predistortion Linearization

Raül Criado;Wantao Li;William Thompson;Gabriel Montoro;Kevin Chuang;Pere L. Gilabert

Year: 2024 | Conference Paper |

A Scalable Bandwidth and Frequency-Dependent DPD Linearizer for User Equipment Power Amplifiers With Nonflat Frequency Response

Wantao Li;Yan Guo;Gabriel Montoro;Pere L. Gilabert

IEEE Transactions on Microwave Theory and Techniques
Year: 2024 | Volume: 72, Issue: 5 | Journal Article |
Cited by: Papers (2)
This article presents a scalable digital predistortion (DPD) linearizer for handset power amplifiers (PAs) with nonflat frequency response and assuming a 5G scenario with dynamic resource blocks (RBs) reallocation. The scalable DPD model is designed to be both bandwidth and frequency-dependent, including some design constraints targeting a resource-efficient hardware implementation. In order to ex...Show More

A Scalable Bandwidth and Frequency-Dependent DPD Linearizer for User Equipment Power Amplifiers With Nonflat Frequency Response

Wantao Li;Yan Guo;Gabriel Montoro;Pere L. Gilabert

Year: 2024 | Volume: 72, Issue: 5 | Journal Article |

Digital Shaping and Linearization of a Dual-Input Load-Modulated Balanced Amplifier

Wantao Li;Gabriel Montoro;William Thompson;Kevin Chuang;Pere L. Gilabert

2023 International Workshop on Integrated Nonlinear Microwave and Millimetre-Wave Circuits (INMMIC)
Year: 2023 | Conference Paper |
Cited by: Papers (3)
This paper presents shaping and linearization techniques to trade-off linearity and power efficiency in a dual-input pseudo-Doherty load-modulated balanced amplifier (PD-LMBA). The proposed shaping function is defined to operate in the frequency domain and it is oriented at exploiting the dual-input architecture of the PD-LMBA to either enhance linearity or power efficiency. In addition, since the...Show More

Digital Shaping and Linearization of a Dual-Input Load-Modulated Balanced Amplifier

Wantao Li;Gabriel Montoro;William Thompson;Kevin Chuang;Pere L. Gilabert

Year: 2023 | Conference Paper |

Design and Implementation of a GPU-Based Digital Predistortion Linearizer for RF Power Amplifiers

Wantao Li;Gabriel Montoro;Pere L. Gilabert

2023 19th International Conference on Synthesis, Modeling, Analysis and Simulation Methods and Applications to Circuit Design (SMACD)
Year: 2023 | Conference Paper |
This paper presents an automated process for generating computationally efficient radiofrequency (RF) power amplifier (PA) behavioural models that can be used for digital-predistortion (DPD) linearization. The implementation of the DPD behavioral model is based on the personal computer (PC) architecture including recent graphical process units (GPUs) with compute unified device architecture (CUDA)...Show More

Design and Implementation of a GPU-Based Digital Predistortion Linearizer for RF Power Amplifiers

Wantao Li;Gabriel Montoro;Pere L. Gilabert

Year: 2023 | Conference Paper |

Incremental DPD Linearization for Mobile Terminals with Non-Flat Frequency Response in Dynamic Bandwidth Re-Allocation Scenarios

Wantao Li;Yan Guo;Gabriel Montoro;Pere L. Gilabert

2023 IEEE/MTT-S International Microwave Symposium - IMS 2023
Year: 2023 | Conference Paper |
Cited by: Papers (2)
This paper presents a low-complexity open-loop digital linearization system for handset applications with non-flat frequency response when considering a 5G new radio dynamic bandwidth re-allocation scenario. The proposed digital predistorter (DPD) is scalable with the signal bandwidth by simply activating or deactivating basis kernels, without re-training nor re-assigning the model coefficients. T...Show More

Incremental DPD Linearization for Mobile Terminals with Non-Flat Frequency Response in Dynamic Bandwidth Re-Allocation Scenarios

Wantao Li;Yan Guo;Gabriel Montoro;Pere L. Gilabert

Year: 2023 | Conference Paper |

Performance Modeling and Shaping Function Extraction for Dual-input Load Modulated Power Amplifiers

Wantao Li;Aleksander Bogusz;Jonathan Lees;Roberto Quaglia;Steve Cripps;Gabriel Montoro;Pere L. Gilabert

2023 IEEE/MTT-S International Microwave Symposium - IMS 2023
Year: 2023 | Conference Paper |
Cited by: Papers (4)
This paper proposes the method of extracting a shaping function for operating a family of Dual Input Power Amplifiers operating with modulated signals such as OFDM-based 5G new radio (NR) signals. The shaping function describing the drive profile for each input was implemented using a Look-Up Table (LUT) approach. This table can be constructed from the previously measured PA data to target various...Show More

Performance Modeling and Shaping Function Extraction for Dual-input Load Modulated Power Amplifiers

Wantao Li;Aleksander Bogusz;Jonathan Lees;Roberto Quaglia;Steve Cripps;Gabriel Montoro;Pere L. Gilabert

Year: 2023 | Conference Paper |

Digital Predistortion Linearization of a GaN HEMT Push-Pull Power Amplifier for Cable Applications With High Fractional Bandwidth

Pere L. Gilabert;José-Ramón Pérez-Cisneros;Zhixiong Ren;Gabriel Montoro;María de Las Nieves Ruiz Lavín;José A. García

IEEE Transactions on Broadcasting
Year: 2023 | Volume: 69, Issue: 2 | Journal Article |
Cited by: Papers (3)
This paper presents two linearization strategies for a custom-designed wideband push-pull (PP) power amplifier (PA) for wired communication applications such as, for example, cable TV. Two digital predistortion (DPD) behavioral models are proposed to meet the in-band and out-of-band linearity requirements when efficiently amplifying wideband DOCSIS signals with high fractional bandwidth (FBW). A r...Show More

Digital Predistortion Linearization of a GaN HEMT Push-Pull Power Amplifier for Cable Applications With High Fractional Bandwidth

Pere L. Gilabert;José-Ramón Pérez-Cisneros;Zhixiong Ren;Gabriel Montoro;María de Las Nieves Ruiz Lavín;José A. García

Year: 2023 | Volume: 69, Issue: 2 | Journal Article |

Frequency-Dependent DPD Linearization for Load-Mismatched Mobile Terminal PAs Operating Under Dynamic Resource Block Allocation

Wantao Li;Gabriel Montoro;Yan Guo;Pere L. Gilabert

2023 IEEE Topical Conference on RF/Microwave Power Amplifiers for Radio and Wireless Applications
Year: 2023 | Conference Paper |
Cited by: Papers (1)
This paper presents a novel linearization method to compensate for load-mismatched power amplifiers in 5G new radio mobile terminals. The proposed digital predistortion (DPD) approach is based on a frequency-dependent memoryless polynomial behavioral model that allows meeting the linearity specifications under dynamic resource block (RB) allocation when considering narrowband signals. The advantag...Show More

Frequency-Dependent DPD Linearization for Load-Mismatched Mobile Terminal PAs Operating Under Dynamic Resource Block Allocation

Wantao Li;Gabriel Montoro;Yan Guo;Pere L. Gilabert

Year: 2023 | Conference Paper |

FPGA Implementation of a Linearization System for Wideband Envelope Tracking Power Amplifiers

Wantao Li;Nikolaos Bartzoudis;José Rubio Fernández;David López-Bueno;Gabriel Montoro;Pere L. Gilabert

IEEE Transactions on Microwave Theory and Techniques
Year: 2023 | Volume: 71, Issue: 4 | Journal Article |
Cited by: Papers (4)
This article focuses on the implementation of a linearization system for envelope tracking (ET) power amplifiers (PAs) in field-programmable gate array (FPGA). The ET PA linearization system includes a slew-rate reduction envelope generator, a RF leakage cancellation system in the supply envelope path and a baseband $I - Q$ digital predistorter (DPD). This work targets the implementation of an E...Show More

FPGA Implementation of a Linearization System for Wideband Envelope Tracking Power Amplifiers

Wantao Li;Nikolaos Bartzoudis;José Rubio Fernández;David López-Bueno;Gabriel Montoro;Pere L. Gilabert

Year: 2023 | Volume: 71, Issue: 4 | Journal Article |

Digital Linearization of Wideband Envelope Tracking Power Amplifiers for Mobile Terminals

Wantao Li;Gabriel Montoro;Pere L. Gilabert

IEEE Transactions on Microwave Theory and Techniques
Year: 2023 | Volume: 71, Issue: 1 | Journal Article |
Cited by: Papers (7)
This article presents a low-complexity linearization method to compensate for multisource nonlinear distortion in wideband envelope tracking (ET) power amplifiers (PAs) for 5G new radio (NR) mobile terminals. The proposed linearization approach consists in an envelope leakage cancellation (ELC) system operating in the dynamic supply path and a 2-D digital predistortion (2-D-DPD) linearizer acting ...Show More

Digital Linearization of Wideband Envelope Tracking Power Amplifiers for Mobile Terminals

Wantao Li;Gabriel Montoro;Pere L. Gilabert

Year: 2023 | Volume: 71, Issue: 1 | Journal Article |

Training Data Selection and Dimensionality Reduction for Polynomial and Artificial Neural Network MIMO Adaptive Digital Predistortion

David López-Bueno;Gabriel Montoro;Pere L. Gilabert

IEEE Transactions on Microwave Theory and Techniques
Year: 2022 | Volume: 70, Issue: 11 | Journal Article |
Cited by: Papers (3)
In 5G and beyond radios, the increased bandwidth, the fast-changing waveform scenarios, and the operation of large array multiple-input multiple-output (MIMO) transmitter architectures have challenged both the polynomial and the artificial neural network (ANN) MIMO adaptive digital predistortion (DPD) schemes. This article proposes training data selection methods and dimensionality reduction techn...Show More

Training Data Selection and Dimensionality Reduction for Polynomial and Artificial Neural Network MIMO Adaptive Digital Predistortion

David López-Bueno;Gabriel Montoro;Pere L. Gilabert

Year: 2022 | Volume: 70, Issue: 11 | Journal Article |

Slow-Envelope Shaping Function FPGA Implementation for 5G NR Envelope Tracking PA

Wantao Li;Nikolaos Bartzoudis;José Rubio Fernández;David López-Bueno;Gabriel Montoro;Pere Gilabert

2022 International Workshop on Integrated Nonlinear Microwave and Millimetre-Wave Circuits (INMMiC)
Year: 2022 | Conference Paper |
Cited by: Papers (2)
This paper focuses on the FPGA implementation of a slew-rate reduction (SR) shaping function for envelope tracking (ET) power amplifiers (PAs). The SR envelope has been proved effective to trade-off power efficiency and linearity in ET PA systems where the envelope tracking modulator (ETM) is bandwidth limited. However, the implementation issues need to be addressed when targeting high clock rates...Show More

Slow-Envelope Shaping Function FPGA Implementation for 5G NR Envelope Tracking PA

Wantao Li;Nikolaos Bartzoudis;José Rubio Fernández;David López-Bueno;Gabriel Montoro;Pere Gilabert

Year: 2022 | Conference Paper |

RF Leakage Compensation in Wideband Envelope Tracking Power Amplifiers for Mobile Terminals

Wantao Li;Gabriel Montoro;Pere L. Gilabert

2022 IEEE Topical Conference on RF/Microwave Power Amplifiers for Radio and Wireless Applications (PAWR)
Year: 2022 | Conference Paper |
Cited by: Papers (5)
This paper presents a new linearization method to compensate for the unwanted RF leakage that appears at the ouput of envelope tracking modulators (ETMs) when operating envelope tracking (ET) power amplifiers (PAs) with wideband signals. This RF leakage is combined in the ETM with the dy-namic supply signal and generates unwanted nonlinear distortion at the RF output of the ET PA. A leakage cancel...Show More

RF Leakage Compensation in Wideband Envelope Tracking Power Amplifiers for Mobile Terminals

Wantao Li;Gabriel Montoro;Pere L. Gilabert

Year: 2022 | Conference Paper |

Reconfigurable DPD Based on ANNs for Wideband Load Modulated Balanced Amplifiers Under Dynamic Operation From 1.8 to 2.4 GHz

Estefanía Guillena;Wantao Li;Gabriel Montoro;Roberto Quaglia;Pere L. Gilabert

IEEE Transactions on Microwave Theory and Techniques
Year: 2022 | Volume: 70, Issue: 1 | Journal Article |
Cited by: Papers (17)
This article proposes a methodology to ensure linear amplification of a load modulated balanced amplifier (LMBA) while keeping the power efficiency as high as possible over a frequency band ranging from 1.8 to 2.4 GHz and where the transmitted signals can present different bandwidth (BW) configurations. The proposed reconfigurable linearization methodology consists of, in a first step, tuning some...Show More

Reconfigurable DPD Based on ANNs for Wideband Load Modulated Balanced Amplifiers Under Dynamic Operation From 1.8 to 2.4 GHz

Estefanía Guillena;Wantao Li;Gabriel Montoro;Roberto Quaglia;Pere L. Gilabert

Year: 2022 | Volume: 70, Issue: 1 | Journal Article |

FPGA Implementation of Memory-Based Digital Predistorters with High-Level Synthesis

Wantao Li;Estefanía Guillena;Gabriel Montoro;Pere L. Gilabert

2021 IEEE Topical Conference on RF/Microwave Power Amplifiers for Radio and Wireless Applications (PAWR)
Year: 2021 | Conference Paper |
Cited by: Papers (5)
This paper presents a scalable look-up table (LUT) architecture for implementing digital predistortion (DPD) linearizers in a field programmable gate array (FPGA) by using the high-level synthesis (HLS) software. This architecture can be used in most memory-based DPD behavioral models whose basis functions can be expressed as a combination of basic predistortion cells (BPCs). The advantages of the...Show More

FPGA Implementation of Memory-Based Digital Predistorters with High-Level Synthesis

Wantao Li;Estefanía Guillena;Gabriel Montoro;Pere L. Gilabert

Year: 2021 | Conference Paper |

Dataset Reduction for Neural Network Based Digital Predistorters under Strong Nonlinearities

David López-Bueno;Pere L. Gilabert;Gabriel Montoro

2021 IEEE Topical Conference on RF/Microwave Power Amplifiers for Radio and Wireless Applications (PAWR)
Year: 2021 | Conference Paper |
Cited by: Papers (2)
The artificial neural networks (ANN) are gaining momentum in the digital predistorters (DPD) thanks to their inherently good approximation capabilities. Under strong or complex power amplifier nonlinearities, the size of the ANN can increase and lead to long training periods which are unaffordable in fast-changing waveform scenarios like those proposed for 5G or 6G. In this work we combine the ort...Show More

Dataset Reduction for Neural Network Based Digital Predistorters under Strong Nonlinearities

David López-Bueno;Pere L. Gilabert;Gabriel Montoro

Year: 2021 | Conference Paper |

Mesh-Selecting for Computational Efficient PA Behavioral Modeling and DPD Linearization

Teng Wang;Pere L. Gilabert

IEEE Microwave and Wireless Components Letters
Year: 2021 | Volume: 31, Issue: 1 | Journal Article |
Cited by: Papers (18)
This letter proposes a mesh-selecting (MeS) method for complex-valued signals oriented at significantly reducing the training data required to extract the parameters of mathematical models for characterizing the nonlinear behavior of power amplifiers or digital predistortion linearizers. Experimental results will show the advantages of the proposed MeS method when properly combined with dimensiona...Show More

Mesh-Selecting for Computational Efficient PA Behavioral Modeling and DPD Linearization

Teng Wang;Pere L. Gilabert

Year: 2021 | Volume: 31, Issue: 1 | Journal Article |

Beyond the Moore-Penrose Inverse: Strategies for the Estimation of Digital Predistortion Linearization Parameters

Pere L. Gilabert;R. Neil Braithwaite;Gabriel Montoro

IEEE Microwave Magazine
Year: 2020 | Volume: 21, Issue: 12 | Magazine Article |
Cited by: Papers (18)
Digital predistortion (DPD) is the linearization technique most often used to cope with the inherent tradeoff between linearity and efficiency in power amplifiers (PAs). Adaptation is needed to optimize DPD performance. This article reviews strategies for estimating the parameters controlling the DPD linearizer.Show More

Beyond the Moore-Penrose Inverse: Strategies for the Estimation of Digital Predistortion Linearization Parameters

Pere L. Gilabert;R. Neil Braithwaite;Gabriel Montoro

Year: 2020 | Volume: 21, Issue: 12 | Magazine Article |

Prediction of the Optimal Phase Shift between Control Signals in Dual-Input Power Amplifiers

Estefanía Guillena;Wantao Li;Pere L. Gilabert;Gabriel Montoro

2020 International Workshop on Integrated Nonlinear Microwave and Millimetre-Wave Circuits (INMMiC)
Year: 2020 | Conference Paper |
Cited by: Papers (4)
This paper evaluates the effect of the phase shift between the two control signals in a dual-input load modulated balanced amplifier (LMBA). While the drain efficiency of the LMBA is not significantly affected by the phase shift between the control signals, the LMBA linearity instead can be significantly degraded if the phase shift parameter is not properly chosen. Therefore, we can predict the op...Show More

Prediction of the Optimal Phase Shift between Control Signals in Dual-Input Power Amplifiers

Estefanía Guillena;Wantao Li;Pere L. Gilabert;Gabriel Montoro

Year: 2020 | Conference Paper |

Design and Digital Predistortion Linearization of a Wideband Outphasing Amplifier Supporting 200 MHz Bandwidth

Pere L. Gilabert;David Vegas;Zhixiong Ren;Gabriel Montoro;José R. Pérez-Cisneros;M. Nieves Ruiz;Xiaoshu Si;José A. García

2020 IEEE Topical Conference on RF/Microwave Power Amplifiers for Radio and Wireless Applications (PAWR)
Year: 2020 | Conference Paper |
Cited by: Papers (7)
This paper presents a holistic approach to design and linearize a wideband outphasing power amplifier (PA) to efficiently amplify a 200 MHz bandwidth (BW) signal compliant with the Data Over Cable Service Interface Specification (DOCSIS) standard. The proposed outphasing PA, based on a load insensitive GaN HEMT class-E topology, was designed to face the trade-off between the output power control r...Show More

Design and Digital Predistortion Linearization of a Wideband Outphasing Amplifier Supporting 200 MHz Bandwidth

Pere L. Gilabert;David Vegas;Zhixiong Ren;Gabriel Montoro;José R. Pérez-Cisneros;M. Nieves Ruiz;Xiaoshu Si;José A. García

Year: 2020 | Conference Paper |

Dynamic Selection and Estimation of the Digital Predistorter Parameters for Power Amplifier Linearization

Quynh Anh Pham;Gabriel Montoro;David López-Bueno;Pere L. Gilabert

IEEE Transactions on Microwave Theory and Techniques
Year: 2019 | Volume: 67, Issue: 10 | Journal Article |
Cited by: Papers (14)
This paper presents a new technique that dynamically estimates and updates the coefficients of a digital predistorter (DPD) for power amplifier (PA) linearization. The proposed technique is dynamic in the sense of estimating, at every iteration of the coefficient's update, only the minimum necessary parameters according to a criterion based on the residual estimation error. At the first step, the ...Show More

Dynamic Selection and Estimation of the Digital Predistorter Parameters for Power Amplifier Linearization

Quynh Anh Pham;Gabriel Montoro;David López-Bueno;Pere L. Gilabert

Year: 2019 | Volume: 67, Issue: 10 | Journal Article |

Dynamic Selection and Update of Digital Predistorter Coefficients for Power Amplifier Linearization

Quynh Anh Pham;David López-Bueno;Gabriel Montoro;Pere L. Gilabert

2019 IEEE Topical Conference on RF/Microwave Power Amplifiers for Radio and Wireless Applications (PAWR)
Year: 2019 | Conference Paper |
Cited by: Papers (5)
In this paper, a new method for dynamically estimating and updating the coefficients of a digital predistortion (DPD) linearizer is presented. By means of the partial least squares (PLS) algorithm, the basis matrix used in the DPD estimation/adaptation is dynamically updated at every iteration to minimize the linearization error. Moreover, only the minimum necessary DPD coefficients being required...Show More

Dynamic Selection and Update of Digital Predistorter Coefficients for Power Amplifier Linearization

Quynh Anh Pham;David López-Bueno;Gabriel Montoro;Pere L. Gilabert

Year: 2019 | Conference Paper |

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