Three PAPR Reduction Techniques: Clip & Filter, PTS, and SLM with Their Optimization Algorithms

Resource Overview

Implementation of three PAPR (Peak-to-Average Power Ratio) reduction methods - Clip & Filter, Partial Transmit Sequence (PTS), and Selected Mapping (SLM) - along with their optimization algorithms. Features clean, well-commented code that is executable and highly valuable for research and practical applications.

Detailed Documentation

This resource presents three effective methods for reducing PAPR (Peak-to-Average Power Ratio) in communication systems: Clip & Filter, Partial Transmit Sequence (PTS), and Selected Mapping (SLM). These techniques significantly decrease signal peak power, thereby enhancing overall system performance. The implementation includes optimization algorithms that further improve the effectiveness of these methods. The provided code demonstrates practical implementation approaches: - Clip & Filter technique applies amplitude clipping followed by frequency domain filtering to maintain spectral containment - PTS algorithm partitions input data into subblocks and optimizes phase factors to minimize peak power - SLM method generates multiple candidate signals using different phase sequences and selects the one with lowest PAPR All code examples feature straightforward implementation with comprehensive comments explaining key algorithmic steps and function purposes. The implementations are designed for easy comprehension and modification, making them valuable references for both research studies and practical engineering applications. These verified, executable codes serve as excellent learning resources and development foundations for PAPR reduction-related work.