Wide bandwidth adaptive digital predistortion of power amplifiers using reduced order memory correction

Braithwaite, R. Neil

doi:10.1109/mwsym.2008.4633069

Cited by 40 publications

(17 citation statements)

References 2 publications

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“…This is the case of the multi-dimensional Volterra-based models such as the 3D-BBE Volterra model [10] or 2D P-A Volterra model [11]. Alternatively, or in a complementary way, model order reduction techniques such as the ones based on the SVD [21]- [23] or techniques based on the PCA theory [28] are applied without assuming any a priori physical structure of the model.…”

Section: B Description Of the New 3d Distributed Memory Polynomial Dmentioning

confidence: 99%

3-D Distributed Memory Polynomial Behavioral Model for Concurrent Dual-Band Envelope Tracking Power Amplifier Linearization

Gilabert

Montoro

2015

IEEE Trans. Microwave Theory Techn.

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Abstract-This paper presents a new three-dimensional (3D) behavioral model to compensate for the nonlinear distortion arising in concurrent dual-band (DB) Envelope Tracking (ET) Power Amplifiers (PAs). The advantage of the proposed 3D distributed memory polynomial (3D-DMP) behavioral model, in comparison to the already published behavioral models used for concurrent dual-band envelope tracking PA linearization, is that it requires a smaller number of coefficients to achieve the same linearity performance, which reduces the overall identification and adaptation computational complexity. The proposed 3D-DMP digital predistorter (DPD) is tested under different ET supply modulation techniques. Moreover, further model order reduction of the 3D-DMP DPD is achieved by applying the principal component analysis (PCA) technique. Experimental results are shown considering a concurrent DB transmission of a WCDMA signal at 1.75 GHz and a 10 MHz bandwidth LTE signal at 2.1 GHz. The performance of the proposed 3D-DMP DPD is evaluated in terms of linearity, drain power efficiency and computational complexity.

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Section: B Description Of the New 3d Distributed Memory Polynomial Dmentioning

confidence: 99%

3-D Distributed Memory Polynomial Behavioral Model for Concurrent Dual-Band Envelope Tracking Power Amplifier Linearization

Gilabert

Montoro

2015

IEEE Trans. Microwave Theory Techn.

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“…As the signal bandwidth increases, extracting the DPD parameters using reduced bandwidth becomes a challenging problem. Several helpful approaches can be used to efficiently derive DPD parameters in this band-limited situation, such as using reduced memory correction approach [95], direct learning with reduced bandwidth feedback [94], bandwidth-constrained least squares [96] and dual-loop parameter optimization [92].…”

Section: Rf To Digitalmentioning

confidence: 99%

Green Communications: Digital Predistortion for Wideband RF Power Amplifiers

Guan¹,

Zhu

2014

IEEE Microwave

180

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“…In Ref. , the number of coefficients of DPD model was reduced using only larger eigen values. In Ref.…”

Section: Introductionmentioning

confidence: 99%

Application of principal component analysis based effective digital predistortion technique for low-cost FPGA implementation

Jaraut

Rawat

2017

Int J RF Microw Comput Aided Eng

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This article investigates the issue of low-cost digital predistortion (DPD) implementation in fixed-point field programmable gate array (FPGA) by considering the bitresolution along with lower number of coefficients. The impact of principle component analysis (PCA) on bit-resolution of DPD solution is proposed within the context of established DPD models. Unlike previously proposed PCA based solutions, it is established by simulation and measurement that the numerical stability problem associated with popular models such as memory polynomial (MP) can be alleviated when PCA is applied to the observation data matrix. It is reported with measurement results that PCA based model provides better linearization performance with the least memory size requirement and number of LUTs in 16-bit fixed-point FPGA operation than MP, orthogonal memory polynomial (OMP), and generalized memory polynomial (GMP) models. The performance of the proposed model, is evaluated in terms of normalized mean square error, adjacent channel error power ratio, matrix condition number, and dispersion coefficient for continuous Class-AB and ZX60-V631 power amplifiers using wide code-division multiple access signal (WCDMA) and long term evolution (LTE) signal with peak-to-average-power ratio (PAPR) around 9.895 and 11.92 dB, respectively. K E Y W O R D S behavioral modeling, digital predistortion (DPD), memory effect, memory polynomial (MP), order reduction, power amplifier (PA), principal component analysis (PCA) Int J RF Microw Comput Aided Eng. 2017;27:e21095.

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Wide bandwidth adaptive digital predistortion of power amplifiers using reduced order memory correction

Cited by 40 publications

References 2 publications

3-D Distributed Memory Polynomial Behavioral Model for Concurrent Dual-Band Envelope Tracking Power Amplifier Linearization

3-D Distributed Memory Polynomial Behavioral Model for Concurrent Dual-Band Envelope Tracking Power Amplifier Linearization

Green Communications: Digital Predistortion for Wideband RF Power Amplifiers

Application of principal component analysis based effective digital predistortion technique for low-cost FPGA implementation

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