.png){kind=icon}
返回
OFDM Receiver Design With Learning-Driven Automatic Modulation Recognition
.png){kind=icon}
PRE
AI
DOI：10.1109/TCCN.2023.3327561.png)
.png){kind=icon}
原文求助.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
The orthogonal frequency-division multiplexing (OFDM) is widely used in modern radio communications because of its efficient spectrum utilization. As we know, the adaptive modulation can efficiently improve the spectrum utilization of OFDM systems, in comparison with the non-adaptive modulation. For this, we design a learning-driven automatic modulation recognition (AMR) receiver for the OFDM system in this paper. The AMR receiver is composed of the robust channel estimation neural network (RCE-NET), the modulation recognition neural network (MR-NET) and the decoding network (DE-NET). Specifically, the RCE-NET estimates a channel state information by the least squares estimation, and the MR-NET realizes the modulation recognition based on the constellation diagram of the equalized signals. After that, the corresponding DE-NET is used for decoding according to the recognition result of the MR-NET. In order to verify the robustness of the designed receiver, we conduct the simulations in different channel models. Simulation results demonstrate the efficiency of our proposed AMR receiver on the channel estimation, modulation recognition and decoding.
Keyword:
Modulation
OFDM
Receivers
Channel estimation
Symbols
Convolutional neural networks
Fading channels
deep learning
channel estimation
modulation recognition
adaptive modulation
wireless communications
期刊
I
IF:
7
论文数:
1.6K
被引数:
5.5K
机构
引用论文
Evaluation of uncertainty for regularized deconvolution: A case study in hydrophone measurements
PREAI
分享收藏Coupled Coarray Tensor CPD for DOA Estimation With Coprime L-Shaped ArrayCo-array张量CPD与co-rime l形阵列的DOA估计
PREAI
分享收藏Deep Learning for Joint Channel Estimation and Signal Detection in OFDM Systems深度学习在OFDM系统信道估计与信号检测中的联合应用
OAAI
OAAI分享收藏One-Shot Blind Channel Estimation for OFDM Systems Over Frequency-Selective Fading Channels频率选择性衰落信道下OFDM系统的一次盲信道估计
PREAI
分享收藏Deep Learning-Based Signal Modulation Identification in OFDM Systems基于深度学习的OFDM系统信号调制识别.png)
IEEE ACCESSOAAI
IEEE ACCESSIF3.6
OAAI分享收藏分享收藏An introduction to adaptive QAM modulation schemes for known and predicted channelsPROCEEDINGS OF THE IEEE
PROCEEDINGS OF THE IEEEIF25.9
PREAI
分享收藏
查看更多内容