{"title":"Channel estimation using linear prediction for wireless indoor communications","authors":"S. Carcopardi, F. Gatti, G. Reali","doi":"10.1109/ICC.1995.524254","DOIUrl":null,"url":null,"abstract":"The paper examines wireless local area network (WLAN) applications based on the DS-CDMA technique. It paper deals with the equalization of the indoor radio channel. The equalization is based on the RAKE processing of the received signal. The estimation of the weights of the channel has been carried out in two steps: the former consists in a preliminary estimation based on isolating the desired magnitudes from the received signal by means of correlation techniques; the latter accomplishes a linear regression on the samples provided by the preliminary estimation in order to counteract the delay caused by a filtering operation. The system performance, in terms of BER versus E/sub b//N/sub o/, is provided.","PeriodicalId":241383,"journal":{"name":"Proceedings IEEE International Conference on Communications ICC '95","volume":"19 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1995-06-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings IEEE International Conference on Communications ICC '95","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICC.1995.524254","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
The paper examines wireless local area network (WLAN) applications based on the DS-CDMA technique. It paper deals with the equalization of the indoor radio channel. The equalization is based on the RAKE processing of the received signal. The estimation of the weights of the channel has been carried out in two steps: the former consists in a preliminary estimation based on isolating the desired magnitudes from the received signal by means of correlation techniques; the latter accomplishes a linear regression on the samples provided by the preliminary estimation in order to counteract the delay caused by a filtering operation. The system performance, in terms of BER versus E/sub b//N/sub o/, is provided.