{"title":"Multiuser interference modeling and suppression for a multichannel differential IR-UWB system","authors":"C. Steiner, K. Witrisal","doi":"10.1109/ICU.2005.1570068","DOIUrl":null,"url":null,"abstract":"In a frame-differential, transmitted-reference (TR), impulse radio (IR) UWB system, operating in a dispersive multipath propagation and multi-access environment, the performance is, besides to noise, determined by the amount of inter-symbol interference (ISI) and multi-access interference (MAI). In this paper a multiuser multichannel equivalent system model accounting for ISI and MAI is derived to develop advanced detectors for these IR-UWB systems. A low complexity LMS algorithm is used to calculate optimal weighting coefficients for the fractionally-spaced, multichannel sample vectors acquired from the analog receiver front-end, to obtain an optimized decision variable. The achieved results are compared to the conventional single-channel system and to the results of a maximum likelihood sequence detection (MLSD) multiuser detection algorithm.","PeriodicalId":105819,"journal":{"name":"2005 IEEE International Conference on Ultra-Wideband","volume":"16 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2005-09-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"16","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2005 IEEE International Conference on Ultra-Wideband","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICU.2005.1570068","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 16
Abstract
In a frame-differential, transmitted-reference (TR), impulse radio (IR) UWB system, operating in a dispersive multipath propagation and multi-access environment, the performance is, besides to noise, determined by the amount of inter-symbol interference (ISI) and multi-access interference (MAI). In this paper a multiuser multichannel equivalent system model accounting for ISI and MAI is derived to develop advanced detectors for these IR-UWB systems. A low complexity LMS algorithm is used to calculate optimal weighting coefficients for the fractionally-spaced, multichannel sample vectors acquired from the analog receiver front-end, to obtain an optimized decision variable. The achieved results are compared to the conventional single-channel system and to the results of a maximum likelihood sequence detection (MLSD) multiuser detection algorithm.