An efficient adaptive digital predistortion framework to achieve optimal linearization of power amplifier

In the era of modern communication systems, to achieve optimal linearity of power amplifiers without sacrificing energy efficiency has become more challenging especially in the case of orthonormal frequency division multiplexing (OFDM) signals. Most of the recent communication signals such as (OFDM signals, RF signals) usually have large peak-to-average power ratio. Therefore, it has an impact on enhancing non-linearity of signals with orthonormality. Also, it maximizes the in-band distortion and out band spectral re growth. This paper aims to develop a novel adaptive approach to formulating orthonormal basis functions, which have been further carried out to enhance the numerical instability during evaluation of coefficients. The experimental prototype based proposed framework also focuses on exhibiting computational complexities associated with least square methods. Also, it keeps maintaining the convergence speed of Recursive Least Squares Algorithms (RLS). A comparative analysis in between the proposed framework and conventional systems (RLS, LMS) has been performed by obtaining the experimental and simulation results which further exhibits and validates the effectiveness of the proposed framework.