{"title":"并行层MIMO检测的互信息最大化线性预编码","authors":"E. Ohlmer, U. Wachsmann, G. Fettweis","doi":"10.1109/SPAWC.2011.5990427","DOIUrl":null,"url":null,"abstract":"In this paper mutual information maximizing linear precoding for MIMO transmission using finite signal alphabets and a parallel layer MIMO detection scheme is derived. The derivation exploits that the mutual information of the parallel detection scheme can be expressed in terms of the mutual information associated with optimal maximum likelihood detection. Results show that the large performance gap between parallel layer detection and maximum likelihood detection in ill conditioned channels can be substantially alleviated by optimal precoding.","PeriodicalId":102244,"journal":{"name":"2011 IEEE 12th International Workshop on Signal Processing Advances in Wireless Communications","volume":"41 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2011-06-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":"{\"title\":\"Mutual information maximizing linear precoding for parallel layer MIMO detection\",\"authors\":\"E. Ohlmer, U. Wachsmann, G. Fettweis\",\"doi\":\"10.1109/SPAWC.2011.5990427\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper mutual information maximizing linear precoding for MIMO transmission using finite signal alphabets and a parallel layer MIMO detection scheme is derived. The derivation exploits that the mutual information of the parallel detection scheme can be expressed in terms of the mutual information associated with optimal maximum likelihood detection. Results show that the large performance gap between parallel layer detection and maximum likelihood detection in ill conditioned channels can be substantially alleviated by optimal precoding.\",\"PeriodicalId\":102244,\"journal\":{\"name\":\"2011 IEEE 12th International Workshop on Signal Processing Advances in Wireless Communications\",\"volume\":\"41 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2011-06-26\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"5\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2011 IEEE 12th International Workshop on Signal Processing Advances in Wireless Communications\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/SPAWC.2011.5990427\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2011 IEEE 12th International Workshop on Signal Processing Advances in Wireless Communications","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SPAWC.2011.5990427","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Mutual information maximizing linear precoding for parallel layer MIMO detection
In this paper mutual information maximizing linear precoding for MIMO transmission using finite signal alphabets and a parallel layer MIMO detection scheme is derived. The derivation exploits that the mutual information of the parallel detection scheme can be expressed in terms of the mutual information associated with optimal maximum likelihood detection. Results show that the large performance gap between parallel layer detection and maximum likelihood detection in ill conditioned channels can be substantially alleviated by optimal precoding.