Title :
3-D Distributed Memory Polynomial Behavioral Model for Concurrent Dual-Band Envelope Tracking Power Amplifier Linearization
Author :
Gilabert, P.L. ; Montoro, G.
Author_Institution :
Dept. of Signal Theor. & Commun., Univ. Politec. de Catalunya, Castelldefels, Spain
Abstract :
This paper presents a new 3-D 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 3-D 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.
Keywords :
UHF power amplifiers; computational complexity; principal component analysis; 3D distributed memory polynomial behavioral model; 3D-DMP behavioral model; DB ET PA; DPD; PCA technique; bandwidth 10 MHz; computational complexity; concurrent dual-band envelope tracking power amplifier linearization; digital predistorter; drain power efficiency; frequency 1.75 GHz; frequency 2.1 GHz; model order reduction; nonlinear distortion compensation; principal component analysis technique; Computational modeling; Dual band; Linearity; Modulation; Nonlinear distortion; Polynomials; Solid modeling; Digital predistorter; RF power amplifiers; dual-band; envelope tracking; order reduction; principal component analysis;
Journal_Title :
Microwave Theory and Techniques, IEEE Transactions on
DOI :
10.1109/TMTT.2014.2387825