A Wireless Channel Equalization Method Based on Hybrid Whale Optimization: For Constant Modulus Blind Equalization System
This paper proposes a wireless channel equalization method applied to the constant modulus blind equalization system, which addresses the slow convergence and strong randomness in the initialization of equalizer weights in the constant modulus blind equalization algorithm (CMA) by introducing a hybr...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2023-07-01
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| Series: | Mathematics |
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| Online Access: | https://www.mdpi.com/2227-7390/11/15/3335 |
| _version_ | 1797586406509379584 |
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| author | Xiaolin Wang Liyi Zhang Yunshan Sun Yong Zhang Yongsheng Hu |
| author_facet | Xiaolin Wang Liyi Zhang Yunshan Sun Yong Zhang Yongsheng Hu |
| author_sort | Xiaolin Wang |
| collection | DOAJ |
| description | This paper proposes a wireless channel equalization method applied to the constant modulus blind equalization system, which addresses the slow convergence and strong randomness in the initialization of equalizer weights in the constant modulus blind equalization algorithm (CMA) by introducing a hybrid arithmetic whale optimization algorithm (HAWOA). The mean square error in the CMA is utilized as the cost function for the HAWOA to obtain a more effective initial weights for the equalizer. To validate the superiority of the hybrid arithmetic whale constant modulus blind equalization algorithm, tests are conducted on the equalization system using 16QAM and 64QAM signals. The simulation results demonstrate that the proposed algorithm achieved better initial weights compared to the CMA and the constant modulus blind equalization algorithm based on the whale optimization algorithm. It can obtain the desired mean square error with a lower symbol error rate in fewer iterations. Furthermore, the hybrid arithmetic whale constant modulus blind equalization algorithm exhibited faster convergence in optimizing initial weights, effectively enhancing the equalization performance of the CMA in wireless channels while ensuring timeliness. |
| first_indexed | 2024-03-11T00:22:45Z |
| format | Article |
| id | doaj.art-b135fb1871eb4e5daad6873348ba0044 |
| institution | Directory Open Access Journal |
| issn | 2227-7390 |
| language | English |
| last_indexed | 2024-03-11T00:22:45Z |
| publishDate | 2023-07-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Mathematics |
| spelling | doaj.art-b135fb1871eb4e5daad6873348ba00442023-11-18T23:15:16ZengMDPI AGMathematics2227-73902023-07-011115333510.3390/math11153335A Wireless Channel Equalization Method Based on Hybrid Whale Optimization: For Constant Modulus Blind Equalization SystemXiaolin Wang0Liyi Zhang1Yunshan Sun2Yong Zhang3Yongsheng Hu4School of Information Engineering, Tianjin University of Commerce, Tianjin 300134, ChinaSchool of Information Engineering, Tianjin University of Commerce, Tianjin 300134, ChinaSchool of Information Engineering, Tianjin University of Commerce, Tianjin 300134, ChinaSchool of Information Engineering, Tianjin University of Commerce, Tianjin 300134, ChinaSchool of Information Engineering, Tianjin University of Commerce, Tianjin 300134, ChinaThis paper proposes a wireless channel equalization method applied to the constant modulus blind equalization system, which addresses the slow convergence and strong randomness in the initialization of equalizer weights in the constant modulus blind equalization algorithm (CMA) by introducing a hybrid arithmetic whale optimization algorithm (HAWOA). The mean square error in the CMA is utilized as the cost function for the HAWOA to obtain a more effective initial weights for the equalizer. To validate the superiority of the hybrid arithmetic whale constant modulus blind equalization algorithm, tests are conducted on the equalization system using 16QAM and 64QAM signals. The simulation results demonstrate that the proposed algorithm achieved better initial weights compared to the CMA and the constant modulus blind equalization algorithm based on the whale optimization algorithm. It can obtain the desired mean square error with a lower symbol error rate in fewer iterations. Furthermore, the hybrid arithmetic whale constant modulus blind equalization algorithm exhibited faster convergence in optimizing initial weights, effectively enhancing the equalization performance of the CMA in wireless channels while ensuring timeliness.https://www.mdpi.com/2227-7390/11/15/3335constant modulus blind equalizationhybrid arithmeticwhale optimization algorithminitial weightmean square error |
| spellingShingle | Xiaolin Wang Liyi Zhang Yunshan Sun Yong Zhang Yongsheng Hu A Wireless Channel Equalization Method Based on Hybrid Whale Optimization: For Constant Modulus Blind Equalization System Mathematics constant modulus blind equalization hybrid arithmetic whale optimization algorithm initial weight mean square error |
| title | A Wireless Channel Equalization Method Based on Hybrid Whale Optimization: For Constant Modulus Blind Equalization System |
| title_full | A Wireless Channel Equalization Method Based on Hybrid Whale Optimization: For Constant Modulus Blind Equalization System |
| title_fullStr | A Wireless Channel Equalization Method Based on Hybrid Whale Optimization: For Constant Modulus Blind Equalization System |
| title_full_unstemmed | A Wireless Channel Equalization Method Based on Hybrid Whale Optimization: For Constant Modulus Blind Equalization System |
| title_short | A Wireless Channel Equalization Method Based on Hybrid Whale Optimization: For Constant Modulus Blind Equalization System |
| title_sort | wireless channel equalization method based on hybrid whale optimization for constant modulus blind equalization system |
| topic | constant modulus blind equalization hybrid arithmetic whale optimization algorithm initial weight mean square error |
| url | https://www.mdpi.com/2227-7390/11/15/3335 |
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