Study On Optical Communications, Volume. 48, Issue 6, 9(2022)
Research on Modulation Format Recognition Algorithm based on Machine Learning
[1] Wong M L D, Ting S K, Nandi A K. Naïve Bayes Classification of Adaptive Broadband Wireless Modulation Schemes with Higher Order Cumulants[C]. 2008 2nd International Conference on Signal Processing and Communication Systems, 4813755(2008).
[2] Schreyogg C, Kittel K, Kressel U et al. Robust Classification of Modulation Types Using Spectral Features Applied to HMM[C], 644993(1997).
[3] Liu J, Dong Z, Zhong K et al. Modulation Format Identification based on Received Signal Power Distributions for Digital Coherent Receivers[C], Th2A.29(2014).
[4] Zhao Z, Yang A, Guo P et al. A Modulation Format Identification Method based Signal Amplitude Sorting and Ratio Calculation[J]. Optics Communications, 470, 125819(2020).
[5] Yu X, Bai C, Xu H et al. A Modified PSO Assisted Blind Modulation Format Identification Scheme for Elastic Optical Networks[J]. Optics Communications, 476, 126280(2020).
[6] Gonzalez N G, Zibar D, Monroy I T. Cognitive Digital Receiver for Burst Mode Phase Modulated Radio over Fiber Links[C]. 36th European Conference and Exhibition on Optical Communication, 5621525(2010).
[7] Zhao Z, Yang A, Guo P et al. A Density Clustering Algorithm for Simultaneous Modulation Format Identification and OSNR Estimation[J]. Applied Sciences, 10, app10031095(2020).
[8] Huang R, Feng Q. Recognition of Communication Signal Modulation based on SAA-SVM[C]. 2010 3rd International Conference on Computer Science and Information Technology, 5564862(2010).
[9] Jiang J, Zhang Q, Xin X et al. Blind Modulation Format Identification based on Principal Component Analysis and Singular Value Decomposition[J]. Electronics, 11, 11040612(2022).
[10] Khan F N, Zhong K, Zhou X et al. Joint OSNR Monitoring and Modulation Format Identification in Digital Coherent Receivers Using Deep Neural Networks[J]. Optics Express, 25, 017767(2017).
[11] Kim J W, Lee C H. Modulation Format Identification of Square and Non-square M-QAM Signals based on Amplitude Variance and OSNR[J]. Optics Communications, 474, 126084(2020).
[12] Huang L, Xue L, Zhuge Q et al. Modulation Format Identification Under Stringent Bandwidth Limitation based on an Artificial Neural Network[J]. OSA Continuum, 4, 412886(2020).
[13] Wang D, Zhang M, Li Z et al. Modulation Format Recognition and OSNR Estimation Using CNN-based Deep Learning[J]. IEEE Photonics Technology Letters, 29, 1667-1670(2017).
[14] Dai A, Zhang H, Sun H. Automatic Modulation Classification Using Stacked Sparse Auto-encoders[C]. 2016 IEEE 13th International Conference on Signal Processing (ICSP), 7877834(2016).
[15] Le Q V, Ngiam J, Coates A et al. On Optimization Methods for Deep Learning[C]. 28th International Conference on Machine Learning, 265-272(2011).
[16] Zeng Y, Zhang M, Han F et al. Spectrum Analysis and Convolutional Neural Network for Automatic Modulation Recognition[J]. Wireless Communications Letters, 8, 929-932(2019).
[17] Du J, Yang T, Chen X et al. A CNN-based Cost-effective Modulation Format Identification Scheme by Low-bandwidth Direct Detecting and Low Rate Sampling for Elastic Optical Networks[J]. Optics Communications, 471, 126007(2020).
[18] Lü H, Zhou X, Huo J et al. Joint OSNR Monitoring and Modulation Format Identification on Signal Amplitude Histograms Using Convolutional Neural Network[J]. Optical Fiber Technology, 61, 102455(2021).
[19] Rajendran S, Meert W, Giustiniano D et al. Deep Learning Models for Wireless Signal Classification with Distributed Low-cost Spectrum Sensors[J]. IEEE Transactions on Cognitive Communications and Networking, 4, 433-445(2018).
[20] Chen S, Zhang Y, He Z et al. A Novel Attention Cooperative Framework for Automatic Modulation Recognition[J]. IEEE Access, 8, 15673-15686(2020).
[21] Njoku J N, Morocho-Cayamcela M E, Lim W. CGDNet: Efficient Hybrid Deep Learning Model for Robust Automatic Modulation Recognition[J]. IEEE Networking Letters, 3, 47-51(2021).
[22] Chang S, Huang S, Zhang R et al. Multitask-Learning-based Deep Neural Network for Automatic Modulation Classification[J]. IEEE Internet of Things Journal, 9, 2192-2206(2022).
Get Citation
Copy Citation Text
Rui-zhe JIN, Nan CHI. Research on Modulation Format Recognition Algorithm based on Machine Learning[J]. Study On Optical Communications, 2022, 48(6): 9
Category: Research Articles
Received: May. 1, 2022
Accepted: --
Published Online: Feb. 14, 2023
The Author Email: Nan CHI (nanchi@fudan.edu.cn)