Implementation of Tiny Machine Learning (TinyML) as Pre-distorter for High Power Amplifier (HPA)Linearization of SDR-based MIMO-OFDM

Evaluation of Joint Technique Iterative Clipping Filtering (ICF) and Neural Network Predistortion on SDR-based MIMO-OFDM System

“…These results are also better than using the ICF PAPR reduction technique alone to compensate for the nonlinear PA. From the constellation signal that is received in the receiver system with the join technique PDNN and ICF (Figs. [19][20][21], it can be seen that the constellation signal is narrower than the constellation signal in the system that only uses ICF or the system without PDNN (Figs. [14][15][16].…”

“…An NN is developed for PD by utilizing signals from a PA. To develop models of NN that have inverse features of PA, the input model uses the output signal of PA, and the output model utilizes the input signal of PA. The NN equation that makes the PD is written in equations (18)(19)(20).…”

“…From equations (18)(19)(20), the architectural model for NN is created, which can be seen in Fig. 5.…”

“…Neural Network (NN) were selected due to their elastic properties and ability to emulate the inverse characteristics of a model of a sophisticated PA [18]. Furthermore, some studies [19], [20] have established that PDNN performs better than alternative digital PD methods.…”