{"title":"Joint automatic equalization for data communication","authors":"R. Chang","doi":"10.1145/800165.805249","DOIUrl":null,"url":null,"abstract":"In data transmission systems with transversal filter equalization, the adjustment of the demodulating carrier phase, the receiver sampling time, and the equalizer tap gains are critical to the system's performance. These parameters cannot be set optimally by independent adjustments. In this talk, a method of jointly setting these parameters based on a minimum mean-square error equalization criterion is described. The possible implementation of the method and its applications to data communication are discussed. Computer simulations show that, when compared with systems using independent settings, the method proposed may offer a reduction in mean-square equalization error of as much as 10 db.","PeriodicalId":383824,"journal":{"name":"Symposium on Problems in the Optimization of Data Communications Systems","volume":"47 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1969-10-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Symposium on Problems in the Optimization of Data Communications Systems","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/800165.805249","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2
Abstract
In data transmission systems with transversal filter equalization, the adjustment of the demodulating carrier phase, the receiver sampling time, and the equalizer tap gains are critical to the system's performance. These parameters cannot be set optimally by independent adjustments. In this talk, a method of jointly setting these parameters based on a minimum mean-square error equalization criterion is described. The possible implementation of the method and its applications to data communication are discussed. Computer simulations show that, when compared with systems using independent settings, the method proposed may offer a reduction in mean-square equalization error of as much as 10 db.