Simulation of ACE Algorithms for PAPR Reduction in OFDM Systems
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Resource Overview
This program implements the simulation of ACE (Active Constellation Extension) algorithms for reducing Peak-to-Average Power Ratio (PAPR) in OFDM systems, featuring four variants: conventional ACE, modified ACE, ACE-SGP (Steepest Gradient Projection), and frame-interleaved ACE. Developed as part of my graduation project, the code evaluates PAPR reduction performance through MATLAB implementations with configurable parameters for constellation extension, gradient optimization, and interleaving patterns.
Detailed Documentation
This program contains simulations of ACE algorithms designed to reduce Peak-to-Average Power Ratio (PAPR) in OFDM systems. The implemented ACE variants include conventional ACE, modified ACE, ACE-SGP (Steepest Gradient Projection), and frame-interleaved ACE. Developed during my graduation project, this work explores performance optimization in OFDM systems through PAPR reduction techniques. The simulation evaluates the effectiveness of these ACE algorithms by implementing key features such as constellation point extension beyond decision boundaries, iterative gradient-based optimization for minimum PAPR, and interleaving techniques to distribute peak power across frames. The code structure includes modules for OFDM signal generation, PAPR calculation using CCDF (Complementary Cumulative Distribution Function) analysis, and comparative visualization of algorithm performance. Through this project, I aim to provide an in-depth investigation of ACE algorithm applications in OFDM systems, offering insights for future research and improvements in wireless communication systems.
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