Nonconsecutive Sample Selection Based on General Lloyd Algorithm for Dual-Band Linearization
- Resource Type
- Periodical
- Authors
- Meng, X.; Fan, C.; Ning, D.; Duan, X.; Shi, R.; Qiu, G.
- 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
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.