{"title":"Experimental investigation of undersampling for adjacent channel interference cancellation scheme","authors":"A. Bostamam, Y. Sanada","doi":"10.1093/ietcom/e89-b.9.2548","DOIUrl":null,"url":null,"abstract":"In this paper an adjacent channel interference (ACI) cancellation scheme for multi-channel reception with undersampling and investigated. Low-IF receiver architecture is used in the multi-channel reception scheme. However, in this system, the signal in the adjacent channel causes interference to the desired signal. ACI cancellation scheme with analog filter bank has been proposed to mitigate the influence from the adjacent channel. Undersampling technique is applied in this system in order to lower the required sampling frequency and power consumption. The effects of the adjacent channel to the undersampling technique in this scheme is investigated through the experiment","PeriodicalId":248766,"journal":{"name":"2005 IEEE 16th International Symposium on Personal, Indoor and Mobile Radio Communications","volume":"6 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2005-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2005 IEEE 16th International Symposium on Personal, Indoor and Mobile Radio Communications","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1093/ietcom/e89-b.9.2548","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 5
Abstract
In this paper an adjacent channel interference (ACI) cancellation scheme for multi-channel reception with undersampling and investigated. Low-IF receiver architecture is used in the multi-channel reception scheme. However, in this system, the signal in the adjacent channel causes interference to the desired signal. ACI cancellation scheme with analog filter bank has been proposed to mitigate the influence from the adjacent channel. Undersampling technique is applied in this system in order to lower the required sampling frequency and power consumption. The effects of the adjacent channel to the undersampling technique in this scheme is investigated through the experiment