{"title":"Study on Variable Step Size Blind Equalization Algorithm Based on CMA","authors":"Mingyu Yang, Dongming Xu","doi":"10.1145/3573942.3573997","DOIUrl":null,"url":null,"abstract":"The inter-symbol interference caused by channel distortion in the communication process seriously affects the communication quality, and this problem is often solved by equalization technology. The principle of the traditional blind equalization constant modulus algorithm (CMA) with fixed step is introduced, and the problem of fast convergence speed and small steady-state error is analyzed by simulation. In order to solve this problem, a blind equalization algorithm with variable step size based on CMA is proposed. In order to solve the problem of fast convergence speed and small steady-state error, the CMA algorithm is improved and the principle of the improved algorithm is described, and the influence of the step on the performance of the algorithm is analyzed. Finally, the simulation experiment proves that the improved algorithm can speed up the convergence speed and keep a small steady-state error at the same time.","PeriodicalId":103293,"journal":{"name":"Proceedings of the 2022 5th International Conference on Artificial Intelligence and Pattern Recognition","volume":"9 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 2022 5th International Conference on Artificial Intelligence and Pattern Recognition","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3573942.3573997","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
The inter-symbol interference caused by channel distortion in the communication process seriously affects the communication quality, and this problem is often solved by equalization technology. The principle of the traditional blind equalization constant modulus algorithm (CMA) with fixed step is introduced, and the problem of fast convergence speed and small steady-state error is analyzed by simulation. In order to solve this problem, a blind equalization algorithm with variable step size based on CMA is proposed. In order to solve the problem of fast convergence speed and small steady-state error, the CMA algorithm is improved and the principle of the improved algorithm is described, and the influence of the step on the performance of the algorithm is analyzed. Finally, the simulation experiment proves that the improved algorithm can speed up the convergence speed and keep a small steady-state error at the same time.