Improved PTS Algorithm for PAPR Reduction in OFDM Systems - Dual-Level Phase Optimization Method

In this paper, we propose a novel algorithm called the Dual-Level Phase Optimization Method for reducing Peak-to-Average Power Ratio (PAPR) in OFDM systems. The algorithm implementation involves a two-stage phase rotation approach where subcarriers are first grouped into multiple subblocks, followed by independent phase optimization at both coarse and fine granularity levels. The code implementation typically utilizes optimization functions to determine optimal phase factors that minimize PAPR while maintaining signal integrity. Our algorithm has demonstrated practical feasibility, and its effectiveness is validated through Complementary Cumulative Distribution Function (CCDF) comparison plots. By employing this dual-level phase optimization technique, we achieve significant PAPR reduction, thereby enhancing OFDM system performance and making it more suitable for various application scenarios. Importantly, our approach extends beyond theoretical research, having undergone practical validation that confirms both its feasibility and real-world effectiveness. The algorithm implementation includes key functions for phase factor calculation, signal partitioning, and iterative optimization processes. We believe this algorithm will play a crucial role in future research and applications, contributing significantly to the advancement of OFDM system technologies.