{"title":"基于信道估计的自适应消噪均衡方法的思考","authors":"Ryusuke Kono, Minoru Komatsu, H. Matsumoto","doi":"10.1109/ISPACS51563.2021.9651135","DOIUrl":null,"url":null,"abstract":"In the communication system, received signals include channel distortion due to channel characteristics. Generally, it is difficult to equalize when noises are added to received signals. In order to solve this problem, an online blind equalization method with a noise removal function was proposed, however the equalization performance is not sufficient. Therefore, in this paper, we propose a method that can improve the equalization performance for received signals with noises.","PeriodicalId":359822,"journal":{"name":"2021 International Symposium on Intelligent Signal Processing and Communication Systems (ISPACS)","volume":"15 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-11-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"A consideration on Adaptive Equalization Method with Noise Removal Function Based on Channel Estimation Using TLS Method\",\"authors\":\"Ryusuke Kono, Minoru Komatsu, H. Matsumoto\",\"doi\":\"10.1109/ISPACS51563.2021.9651135\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In the communication system, received signals include channel distortion due to channel characteristics. Generally, it is difficult to equalize when noises are added to received signals. In order to solve this problem, an online blind equalization method with a noise removal function was proposed, however the equalization performance is not sufficient. Therefore, in this paper, we propose a method that can improve the equalization performance for received signals with noises.\",\"PeriodicalId\":359822,\"journal\":{\"name\":\"2021 International Symposium on Intelligent Signal Processing and Communication Systems (ISPACS)\",\"volume\":\"15 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2021-11-16\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2021 International Symposium on Intelligent Signal Processing and Communication Systems (ISPACS)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ISPACS51563.2021.9651135\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 International Symposium on Intelligent Signal Processing and Communication Systems (ISPACS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISPACS51563.2021.9651135","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A consideration on Adaptive Equalization Method with Noise Removal Function Based on Channel Estimation Using TLS Method
In the communication system, received signals include channel distortion due to channel characteristics. Generally, it is difficult to equalize when noises are added to received signals. In order to solve this problem, an online blind equalization method with a noise removal function was proposed, however the equalization performance is not sufficient. Therefore, in this paper, we propose a method that can improve the equalization performance for received signals with noises.
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