학술논문

Nonconsecutive Sample Selection Based on General Lloyd Algorithm for Dual-Band Linearization
Document Type
Periodical
Source
IEEE Microwave and Wireless Technology Letters IEEE Microw. Wireless Tech. Lett. Microwave and Wireless Technology Letters, IEEE. 34(3):346-349 Mar, 2024
Subject
Fields, Waves and Electromagnetics
Dual band
Histograms
Wireless communication
Fitting
Optimization
Matlab
Euclidean distance
Concurrent nonlinearity characterization (CNC)
dual-band digital predistortion (2D-DPD)
general Lloyd algorithm (GLA)
lagged terms
memory effect compensation
nonconsecutive sample selection
Language
ISSN
2771-957X
2771-9588
Abstract
This letter proposes a nonconsecutive sample selection method (SSM) for dual-band linearization. The reasonableness and effectiveness are demonstrated by theoretical analysis and MATLAB simulation that is based on the statistics of the real-world modulated signal. Given that neither concurrent nonlinearity nor lagged terms are overemphasized to the neglect of the other, this new SSM would perform satisfactory results in both concurrent nonlinearity characterization (CNC) and memory effect compensation. The detailed comparison between the proposed and conventional SSMs shows that this nonconsecutive SSM enables linearization improvement under the excitation of concurrent LTE signals.