PAPR Reduction in OFDM Systems Using Clipping Technique with MATLAB Implementation

This paper explores the clipping technique as a method for reducing Peak-to-Average Power Ratio (PAPR) in Orthogonal Frequency Division Multiplexing (OFDM) systems and provides the corresponding MATLAB source code implementation. OFDM technology has gained increasing popularity in modern communication systems. However, the PAPR issue in OFDM signals remains a major bottleneck for this technology. Therefore, reducing PAPR is essential for improving the performance of OFDM systems. The clipping technique is a simple yet effective method for PAPR reduction. This approach limits the peak amplitude of OFDM signals below a predetermined threshold value to reduce PAPR. Experimental results demonstrate that the clipping technique can effectively reduce PAPR while maintaining the performance characteristics of OFDM signals. The following MATLAB source code implements the clipping technique for PAPR reduction. The function takes an input OFDM signal and a clipping threshold parameter, applying amplitude limitation when the signal's PAPR exceeds the specified threshold. The implementation calculates the PAPR using logarithmic scaling and applies proportional scaling to maintain signal characteristics while reducing peak power. function [x_clipped] = clipping(x, alpha) % x: Input OFDM signal % alpha: Clipping threshold for peak amplitude PAPR = 20*log10(norm(x)/norm(x)^2); if PAPR > alpha x_clipped = x.*alpha/norm(x); else x_clipped = x; end end This MATLAB function demonstrates a straightforward implementation of the clipping algorithm, where the signal is scaled proportionally when its PAPR exceeds the specified threshold, otherwise it remains unchanged. The code provides a practical foundation for further optimization and integration into complete OFDM system simulations.