D. L. Milliner, E. Zimmermann, J. Barry, G. Fettweis
{"title":"A Framework for Fixed Complexity Breadth-First MIMO Detection","authors":"D. L. Milliner, E. Zimmermann, J. Barry, G. Fettweis","doi":"10.1109/ISSSTA.2008.31","DOIUrl":null,"url":null,"abstract":"In this work we present a unifying framework to characterize different types of breadth-first tree search detectors for multiple antenna systems. All considered algorithms operate at fixed complexity and require only a single pass through the detection tree, making them very attractive for practical implementation. Existing approaches are placed into this framework and a performance-complexity analysis is performed for both hard-output and soft-output detection. The B-Chase and the parallel smart candidate adding algorithm emerge as the most attractive schemes for hard-output and soft-output detection, respectively.","PeriodicalId":334589,"journal":{"name":"2008 IEEE 10th International Symposium on Spread Spectrum Techniques and Applications","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2008-09-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"14","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2008 IEEE 10th International Symposium on Spread Spectrum Techniques and Applications","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISSSTA.2008.31","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 14
Abstract
In this work we present a unifying framework to characterize different types of breadth-first tree search detectors for multiple antenna systems. All considered algorithms operate at fixed complexity and require only a single pass through the detection tree, making them very attractive for practical implementation. Existing approaches are placed into this framework and a performance-complexity analysis is performed for both hard-output and soft-output detection. The B-Chase and the parallel smart candidate adding algorithm emerge as the most attractive schemes for hard-output and soft-output detection, respectively.