Nonconsecutive Sample Selection Based on General Lloyd Algorithm for Dual-Band Linearization

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.