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Updated: Sep 13, 2025

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一种稀有的贝叶斯技术来学习OFDM无线系统中的频域主动回归器

Carlos Crespo-Cadenas1, María José Madero-Ayora1, Juan A Becerra1

  • 1Departamento de Teoría de la Señal y Comunicaciones, Escuela Técnica Superior de Ingeniería, Universidad de Sevilla, Camino de los Descubrimientos, s/n, 41092 Seville, Spain.

Sensors (Basel, Switzerland)
|July 30, 2025
PubMed
概括

本研究介绍了一种频域Sparse Bayesian Learning (SBL) 算法,用于模拟用于直角频率分割复合 (OFDM) 系统的功率放大器 (PA) 中的非线性扭曲. 这种新方法提供了与时间域方法相比较的准确性,但对于更广泛的带宽,效率显著提高.

关键词:
在OFDM中,OFDM是指OFDM.沃尔特拉系列的沃尔特拉行为建模行为建模频率域频率域是一个频率域.非线性模型识别方法功率放大器 的功率放大器.稀疏的贝叶斯式学习.

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