利用压缩和削波滤波算法降低 256-QAM 光外径调制解调器 PAPR 的分析

Arun Kumar, S. Chakravarty, Aziz Nanthaamornphong
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引用次数: 0

摘要

摘要 文章介绍了在光学正交时频空间(O-OTFS)调制中降低峰均功率比(PAPR)技术的研究。研究重点是削波和滤波以及复合方法,探讨它们在减轻 O-OTFS 波形固有的 PAPR 挑战方面的功效。研究评估了这些技术对信号质量的影响,特别是在里柬信道的情况下。研究考察了削波和滤波 (C&F) 控制振幅峰值的能力,同时分析了复合压缩在优化动态范围方面的作用。研究对不同条件下的误码率(BER)和功率谱密度(PSD)进行了全面分析,揭示了这些方法如何影响 OTFS 通信的可靠性和鲁棒性。研究考虑了这些降低 PAPR 的方法与包含主要视距分量的瑞利和瑞利信道独特特性之间的相互作用。研究结果为设计适用于真实世界场景的高效 OTFS 调制系统提供了宝贵的见解。最终,这项研究旨在加深对 OTFS 中 PAPR 降低策略的理解,为优化通信系统中的信号处理技术提供指导,因为在通信系统中,降低 PAPR 对实现高性能和可靠的数据传输至关重要。研究表明,所提出的 C&F 和压缩算法优于传统方法,实现了 1-3 dB 的 PAPR 增益和 10.6-2 dB 的误码率增益。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Analysis of PAPR reduction of optical-OTFS for 256-QAM using companding and clipping–filtering algorithms
Abstract The article presents an investigation into Peak-to-Average Power Ratio (PAPR) reduction techniques in Optical Orthogonal Time Frequency Space (O-OTFS) modulation. Focusing on clipping and filtering as well as companding methods, the study explores their efficacy in mitigating PAPR challenges inherent in O-OTFS waveforms. The research evaluates the impact of these techniques on signal quality, particularly in the context of a Rician channel. Clipping and filtering (C&F) are examined for their ability to control amplitude peaks, while companding is analyzed for its role in optimizing dynamic range. The study conducts a comprehensive analysis of Bit Error Rate (BER) and power spectrum density (PSD) under varying conditions, shedding light on how these methods influence the reliability and robustness of OTFS communication. The investigation considers the interplay of these PAPR reduction methods with the unique characteristics of the Rician and Rayleigh channel, which includes a dominant line-of-sight component. The findings contribute valuable insights into designing efficient OTFS modulation systems for real-world scenarios. Ultimately, this research aims to provide a deeper understanding of PAPR reduction strategies in OTFS, offering guidance for optimizing signal processing techniques in communication systems where mitigating PAPR is crucial for achieving high performance and reliable data transmission. It is noted that the proposed C&F and companding algorithms outperform the conventional methods and achieved a PAPR gain of 1–3 dB and BER gain of 10.6–2 dB.
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