OFDM PAPR Simulator with Signal Analysis Implementation

In this technical documentation, we present an OFDM PAPR simulator implementation for Orthogonal Frequency Division Multiplexing systems. The simulator employs digital signal processing techniques to generate OFDM waveforms through IFFT operations and calculates PAPR using peak power detection algorithms. Through MATLAB or Python-based implementation, the system can simulate various modulation schemes including QPSK, 16-QAM, and 64-QAM with configurable subcarrier settings. The core functionality involves generating OFDM symbols through inverse fast Fourier transform (IFFT) processing, where the number of subcarriers (typically 64 to 2048) and cyclic prefix length are programmable parameters. The PAPR calculation algorithm computes the ratio between maximum instantaneous power and average power using statistical analysis methods. Key functions include modulation mapping, IFFT transformation, and power measurement modules that allow researchers to investigate PAPR reduction techniques such as clipping, companding, or selective mapping. This simulation platform enables systematic evaluation of factors impacting PAPR performance, including modulation order selection, subcarrier allocation schemes, and coding techniques. The implementation incorporates power spectral density analysis and complementary cumulative distribution function (CCDF) plots to quantitatively assess PAPR characteristics. Through Monte Carlo simulations with multiple iteration cycles, the tool provides statistical reliability in performance metrics. The simulator architecture supports extension modules for PAPR mitigation algorithms, featuring interfaces for tone reservation and active constellation extension implementations. Real-time visualization components display constellation diagrams, time-domain signals, and PAPR distribution graphs for comprehensive system analysis. This tool serves as an essential development framework for optimizing OFDM system design in 5G and Wi-Fi applications, providing empirical data for power amplifier linearity requirements and spectral efficiency improvements.