A novel memory polynomial behavioral modeling digital pre-distortion technique based on metahaustric hybrid memtic algorithm

This paper introduces a low-complexity metahaustric hybrid memtic algorithm optimization based model coefficients extraction solution for digital pre-distortion (DPD) technique of radio frequency (RF) power amplifier (PA). The proposed modified memory polynomial behavioral modeling digital pre-distortion technique uses indirect learning architecture. The model requires a very low number of numerical operations per iteration, leading to considerable reduction in implementation complexity. The simulation results for Worldwide Interoperability of Microwave Access (WiMAX) 10 MHz PA system show the extraction solution achieves excellent linearization accuracy.