{"title":"一种简单的基于多模误差开关的盲均衡方法","authors":"Lingyun Dai, Ju Liu","doi":"10.1109/ICNNSP.2003.1281137","DOIUrl":null,"url":null,"abstract":"Blind signal processing has been one of the key technology in communication and signal processing area. In wireless communication systems there always exists severely inter-symbol interference (ISI) and multiple access interference (MAI). In this paper, a new blind equalization algorithm for MQAM digital communication system based on the multi-mode error switch is proposed. The algorithm is based on the constant modulus characteristic of the transmitted signal and the multi-mode error switch is used during the training. Analysis and computer simulations show that the new algorithm can reduce the remainder error and the computational complexity , ensure the convergence rates, and the convergence performance is much better than that of algorithm in literature.","PeriodicalId":336216,"journal":{"name":"International Conference on Neural Networks and Signal Processing, 2003. Proceedings of the 2003","volume":"30 5","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"A simple blind equalization approach based on multi-mode error switch\",\"authors\":\"Lingyun Dai, Ju Liu\",\"doi\":\"10.1109/ICNNSP.2003.1281137\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Blind signal processing has been one of the key technology in communication and signal processing area. In wireless communication systems there always exists severely inter-symbol interference (ISI) and multiple access interference (MAI). In this paper, a new blind equalization algorithm for MQAM digital communication system based on the multi-mode error switch is proposed. The algorithm is based on the constant modulus characteristic of the transmitted signal and the multi-mode error switch is used during the training. Analysis and computer simulations show that the new algorithm can reduce the remainder error and the computational complexity , ensure the convergence rates, and the convergence performance is much better than that of algorithm in literature.\",\"PeriodicalId\":336216,\"journal\":{\"name\":\"International Conference on Neural Networks and Signal Processing, 2003. Proceedings of the 2003\",\"volume\":\"30 5\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1900-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"International Conference on Neural Networks and Signal Processing, 2003. Proceedings of the 2003\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICNNSP.2003.1281137\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Conference on Neural Networks and Signal Processing, 2003. Proceedings of the 2003","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICNNSP.2003.1281137","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A simple blind equalization approach based on multi-mode error switch
Blind signal processing has been one of the key technology in communication and signal processing area. In wireless communication systems there always exists severely inter-symbol interference (ISI) and multiple access interference (MAI). In this paper, a new blind equalization algorithm for MQAM digital communication system based on the multi-mode error switch is proposed. The algorithm is based on the constant modulus characteristic of the transmitted signal and the multi-mode error switch is used during the training. Analysis and computer simulations show that the new algorithm can reduce the remainder error and the computational complexity , ensure the convergence rates, and the convergence performance is much better than that of algorithm in literature.