深度学习ofdm仿真的相关内容

文章 2023-12-26 来自：开发者社区

m基于深度学习的OFDM通信系统频偏估计算法matlab仿真

1.算法仿真效果matlab2022a仿真结果如下：训练曲线：误码率曲线： 2.算法涉及理论知识概要正交频分复用（OFDM）是一种高效的无线通信技术，广泛应用于各种无线通信系统。然而，OFDM系统对频率偏移非常敏感，频偏会导致子载波间的正交性丧失，进而产生严重的性能下降。传统的频偏估计方法通常基于导频或者循环前缀，但在低信噪比或者多径环境下性能较差。近年来，深度学习（DL）在...

文章 2023-02-03 来自：开发者社区

基于DNN深度学习网络的OFDM信号检测算法的matlab仿真,对比LS和MMSE两个算法

1.算法描述在OFDM系统中，信道估计器的设计上要有两个问题:** 一是导频信息的选择，由于无线信道的时变特性，需要接收机不断对信道进行跟踪，因此导频信息也必须不断的传送: 二是既有较低的复杂度又有良好的导频跟踪能力的信道估计器的设计，在确定导频发送方式和信道估计准则条件下，寻找最佳的信道估计器结构。正交频分复用(OFDM，Orthogonal Frequency Divisi...

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更新时间 2024-04-16 09:37:40

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