Broad Learning System-Based Detector for OFDM With Index Modulation
Author:
Affiliation:
1. School of Computer and Communication Engineering, Northeastern University of Qinhuangdao, Qinhuangdao, China
2. School of Computer Science and Engineering, Northeastern University, Shenyang, China
Funder
National Natural Science Foundation of China
Natural Science Foundation of Hebei Province
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Electrical and Electronic Engineering,Computer Science Applications,Modeling and Simulation
Link
http://xplorestaging.ieee.org/ielx7/4234/10008392/09926202.pdf?arnumber=9926202
Reference16 articles.
1. Deep Learning-Based Detector for Dual Mode OFDM With Index Modulation
2. Deep Convolutional Neural Network-Based Detector for Index Modulation
3. Broad Learning System: An Effective and Efficient Incremental Learning System Without the Need for Deep Architecture
4. Fast deep learning for automatic modulation classification;ramjee;arXiv 1901 05850,2019
5. Deep Learning-Based Detector for OFDM-IM
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2. Research on carrier index modulation technology based on OFDM system;International Conference on Algorithms, High Performance Computing, and Artificial Intelligence (AHPCAI 2023);2023-12-07
3. A use-case efficient DFrFT-based index modulated-OFDM system in the presence of CFO;AEU - International Journal of Electronics and Communications;2023-10
4. Optimized Greedy Detection for OFDM-IM Systems;IEEE Communications Letters;2023-08
5. An Anti-Eavesdropping Scheme Based on OFDM-IM Using Artificial Noise;IEEE Signal Processing Letters;2023
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