Evolutionary Neural Network based on Quantum Elephant Herding Algorithm for Modulation Recognition in Impulse Noise |
Gao, Hongyuan
(College of Information and Communication Engineering, Harbin Engineering University)
Wang, Shihao (College of Information and Communication Engineering, Harbin Engineering University) Su, Yumeng (College of Information and Communication Engineering, Harbin Engineering University) Sun, Helin (College of Information and Communication Engineering, Harbin Engineering University) Zhang, Zhiwei (College of Information and Communication Engineering, Harbin Engineering University) |
1 | C. Park, J. Choi, S. Nah, W. Jang and D. Y. Kim, "Automatic Modulation Recognition of Digital Signals using Wavelet Features and SVM," in Proc. of 2008 10th International Conference on Advanced Communication Technology, Gangwon-Do, pp. 387-390, February. 2008. |
2 | Sudhakar Kalluri and Gonzalo R. Arce, "Adaptive Weighted Myriad Filter Algorithms for Robust Signal Processing in α-Stable Noise Environments," IEEE Transactions on Signal Processing, vol. 46, no. 2, pp. 322-334, February.1998. DOI |
3 | W. Shi, D. Liu, X. Cheng, Y. Li and Y. Zhao, "Particle Swarm Optimization-Based Deep Neural Network for Digital Modulation Recognition," IEEE Access, vol. 7, pp. 104591-104600, July. 2019. DOI |
4 | X. Q. Wu, Y. Gao, "Novel Modulation Recognition Algorithm based on Genetic BP Neutral Network," Communications Technology, vol.52, no.03, pp.529-534, March. 2019. |
5 | M. Nayak, S. Das, U. Bhanja and M. R. Senapati, "Elephant herding optimization technique based neural network for cancer prediction," Indormatics in Medicine Unlocked, vol. 21, October. 2020. |
6 | S. Taira and E. Murakami, "Automatic classification of analogue modulation signals by statistical parameters," in Proc. of MILCOM 1999. IEEE Military Communications. Conference Proceedings, Atlantic City, NJ, USA, pp. 202-207, November.1999. |
7 | X. Yan, G. Liu, H. Wu, G. Zhang, Q. Wang and Y. Wu, "Robust Modulation Classification Over α-Stable Noise Using Graph-Based Fractional Lower-Order Cyclic Spectrum Analysis," IEEE Transactions on Vehicular Technology, vol. 69, no. 3, pp. 2836-2849, January 2020. DOI |
8 | T. V. R. O. Camara, A. D. L. Lima, B. M. M. Lima, A. I. R. Fontes, A. D. M. Martins and L. F. Q. Silveira, "Automatic Modulation Classification Architectures Based on Cyclostationary Features in Impulsive Environments," IEEE Access, vol. 7, pp. 138512-138527, September. 2019. DOI |
9 | C. C. Wang, M. Q. Liu, Q. Chen, B. D. Shang and H. Y. Tang, "Automatic digital modulation recognition in the presence of alpha-stable noise," Physical Communication, vol. 43, pp. 1-8, October. 2020. |
10 | G. Wang, S. Deb and L. d. S. Coelho, "Elephant Herding Optimization," in Proc. of 2015 3rd International Symposium on Computational and Business Intelligence (ISCBI), Bali, Indonesia, pp. 1-5, January. 2015. |
11 | H. Gao and M. Diao, "Quantum Particle Swarm Optimization for MC-CDMA Multiuser Detection," in Proc. of 2009 International Conference on Artificial Intelligence and Computational Intelligence, Shanghai, China, pp. 132-136, January. 2009. |
12 | J. Y. Chen, H. Cui, S. H. Miao and C. G. Wu, "FEM: Feature extraction and mapping for radio modulation classification," Physical Communication, vol 45, pp.1-8, April. 2021. |
13 | M. Yuan, L. Cheng, J. J. Dang and Y. Shi, "Recognition of Digital Modulation Signals Based on BP Neural Network," Computer & Digital Engineering, Vol. 47, No. 8, pp. 2075-2079, March. 2019. |
14 | X. Tian, X. Sun, X. Yu and X. Li, "Modulation Pattern Recognition of Communication Signals Based on Fractional Low-Order Choi-Williams Distribution and Convolutional Neural Network in Impulsive Noise Environment," in Proc. of 2019 IEEE 19th International Conference on Communication Technology (ICCT), Xi'an, China, pp. 188-192, January. 2020. |
15 | A. A. K. Ismaeel, I. A. Elshaarawy, E. H. Houssein, F. H. Ismail and A. E. Hassanien, "Enhanced Elephant Herding Optimization for Global Optimization," IEEE Access, vol. 7, pp. 34738-34752, March. 2019. DOI |
16 | S. Hassanpour, A. M. Pezeshk and F. Behnia, "Automatic Digital Modulation Recognition Based on Novel Features and Support Vector Machine," in Proc. of 2016 12th International Conference on Signal-Image Technology & Internet-Based Systems (SITIS), Naples, pp. 172-177, November. 2016. |
17 | C. Zhang, S. Yu, G. Li and Y. Xu, "The Recognition Method of MQAM Signals Based on BP Neural Network and Bird Swarm Algorithm," IEEE Access, vol. 9, pp. 36078-36086, February. 2021. DOI |
18 | Z. J. Tan, J. H. Shi, J. F. Hu, " Low-Order Digital Modulation Recognition Algorithm based on Random Forest," Communication Technology, vol. 51, No. 3, pp. 527-532, March. 2018. |
19 | T. K. Roy, M. F. Pervej and M. Morshed, "Performance comparison of three optimized alternative pulse shaping filters with the raised cosine filter for wireless applications," in Proc. of 2015 International Conference on Computer and Information Engineering (ICCIE), Rajshahi, Bangladesh, pp. 9-12, February. 2015. |
20 | J. B. Tamakuwala, "New Low Complexity Variance Method for Automatic Modulation Classification and Comparison with Maximum Likelihood Method," in Proc. of 2019 International Conference on Range Technology (ICORT), Balasore, India, pp. 1-5, February. 2019. |
21 | Y. Ettefagh, M. H. Moghaddam and S. Eghbalian, "An adaptive neural network approach for automatic modulation recognition," in Proc. of 2017 51st Annual Conference on Information Sciences and Systems (CISS), Baltimore, MD, pp. 1-5, March. 2017. |
22 | H. Han, Z. Y. Ren, L. Li and Z. G. Zhu, "Automatic Modulation Classification Based on Deep Feature Fusion for High Noise Level and Large Dynamic Input," Sensor, vol.21, no.6, pp.1-13, March. 2021. DOI |
23 | W. Xie, S. Hu, C. Yu, P. Zhu, X. Peng and J. Ouyang, "Deep Learning in Digital Modulation Recognition Using High Order Cumulants," IEEE Access, vol. 7, pp. 63760-63766, May. 2019. DOI |
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