SLM Method for Reducing OFDM Peak-to-Average Power Ratio

Resource Overview

MATLAB implementation of Selective Mapping (SLM) technique for reducing Peak-to-Average Power Ratio (PAPR) in OFDM systems

Detailed Documentation

This MATLAB-implemented program applies the Selective Mapping (SLM) method to reduce the Peak-to-Average Power Ratio in OFDM signals. The SLM technique is an effective approach for minimizing PAPR in OFDM systems by applying phase modulation to the transmitted data at the transmitter side. The implementation generates multiple candidate signals through different phase sequences and selects the one with the lowest PAPR for transmission. The program design focuses on improving OFDM system performance by incorporating key algorithmic components including: phase sequence generation using random or optimized phase factors, IFFT operations for signal transformation, PAPR calculation using peak detection algorithms, and candidate signal selection based on comparative analysis. This implementation enhances transmission stability and reliability by effectively reducing signal peaks through intelligent phase manipulation. The code structure typically includes modules for: OFDM signal generation, phase sequence initialization, parallel signal processing, PAPR computation using max() and mean() functions, and optimal signal selection. The algorithm efficiency is demonstrated through PAPR reduction metrics and complementary cumulative distribution function (CCDF) analysis plots commonly used in OFDM performance evaluation.