MATLAB Simulation of Digital Pre-Distortion (DPD) Algorithm Implementation

This article presents the MATLAB simulation implementation of the Digital Pre-Distortion (DPD) algorithm. DPD is a widely used technique in communication systems designed to suppress nonlinear distortion that occurs in high-power operating conditions. The implementation demonstrates how adaptive algorithms including Least Mean Squares (LMS), Recursive Least Squares (RLS), and Least Squares (LS) contribute to the DPD pre-distortion mechanism through MATLAB simulations. The LMS algorithm implementation typically involves iterative coefficient updates using gradient descent methods, while RLS employs recursive computation for faster convergence with higher computational complexity. LS algorithms provide optimal solutions through matrix operations solving the normal equations. The simulations showcase the effectiveness of DPD in linearizing power amplifier responses, with code examples illustrating filter coefficient adaptation and distortion compensation techniques. Furthermore, the article analyzes the advantages and limitations of DPD pre-distortion algorithms and discusses potential future research directions, providing valuable references for researchers in related fields.