PAPR Reduction in OFDM using PTS Method with MATLAB Implementation

In communication systems, Orthogonal Frequency Division Multiplexing (OFDM) serves as a crucial digital modulation technique that has been extensively adopted across various wireless communication domains. However, the Peak-to-Average Power Ratio (PAPR) of OFDM signals presents a prevalent challenge, leading to issues such as signal distortion and nonlinear effects. To address this, the Partial Transmission Sequence (PTS) technique has been developed and extensively researched as an effective method for reducing PAPR values in OFDM signals. The PTS technique operates as a time-domain PAPR reduction approach that decomposes the original OFDM signal into multiple subsequences and applies phase weighting to minimize PAPR. Specifically, PTS partitions the input data sequence into several disjoint subblocks, where the subblock size can be adjusted according to system requirements. Within each subblock, selective subcarriers are randomly chosen and multiplied by phase rotation factors (typically ±1 or complex values with unit magnitude) to optimize PAPR reduction. The MATLAB implementation demonstrates this process through key functions including: signal partitioning using buffer operations, phase factor optimization via search algorithms, and PAPR calculation using complementary cumulative distribution function (CCDF) analysis. For researchers and engineers seeking effective PAPR reduction methods for OFDM signals, the PTS technique represents a viable solution worth consideration. The provided MATLAB source code includes practical implementations and examples featuring: subblock partitioning algorithms, phase factor optimization using exhaustive search or iterative methods, and performance comparison modules that help users better understand and apply this technique. The code structure facilitates customization of parameters such as number of subblocks, phase factor sets, and modulation schemes to evaluate system performance under various configurations.