Power Amplifier Linearization Using Digital Pre-Distortion Techniques Based On Memory Polynomial Model and Estimated By Self Organizing Migrating Algorithm

To gratify the requirements of modern wireless communication, linearization of power amplifier (PA) becomes a foremost research field. Several linearization techniques have been introduced time to time. Digital pre-distortion linearization technique is the best linearization technique from other linearization techniques. In this paper, modified memory polynomial function is used to model PA and digital pre-distorter. Self organizing migrating algorithm (SOMA) is applied to estimate the coefficients of the PA and digital predistorter models. The coefficients of PA and DPD are optimized iteratively in order to minimize the output PSD around the pre specified frequency. The simulation results for Worldwide Interoperability of Microwave Access (WiMAX) 10 MHz PA system shows the extraction solution achieves excellent linearization accuracy. The adjacent channel leakage ratio (ACLR), error vector magnitude (EVM) and number coefficients of the PA and digital predistorter are calculated of the proposed memory polynomial model. Improvement in ACLR (dB) and EVM (dB) shows the correctness of the proposed technique.