{"title":"MIMO系统的低复杂度两级检测方案","authors":"M. Chouayakh, A. Knopp, B. Lankl","doi":"10.1109/ITWITWN.2007.4318062","DOIUrl":null,"url":null,"abstract":"This paper provides an approach to reach a near maximum likelihood performance, for MIMO systems, with a strongly reduced computational effort. This method is based on a two-step detection. The first detection step will be performed by using a MMSE equalizer and a subsequent decision unit The second step is a reduced search (RS) algorithm, that is applied only in a neighborhood of the detected symbols of the first step. For complexity reasons only the least reliable symbols are processed by the RS algorithm. The simulation results show that this MMSE RS detector outperforms the MMSE V-BLAST detector. It provides an improved performance using the same complexity.","PeriodicalId":257392,"journal":{"name":"2007 IEEE Information Theory Workshop on Information Theory for Wireless Networks","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2007-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"12","resultStr":"{\"title\":\"Low Complexity Two Stage Detection Scheme for MIMO Systems\",\"authors\":\"M. Chouayakh, A. Knopp, B. Lankl\",\"doi\":\"10.1109/ITWITWN.2007.4318062\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper provides an approach to reach a near maximum likelihood performance, for MIMO systems, with a strongly reduced computational effort. This method is based on a two-step detection. The first detection step will be performed by using a MMSE equalizer and a subsequent decision unit The second step is a reduced search (RS) algorithm, that is applied only in a neighborhood of the detected symbols of the first step. For complexity reasons only the least reliable symbols are processed by the RS algorithm. The simulation results show that this MMSE RS detector outperforms the MMSE V-BLAST detector. It provides an improved performance using the same complexity.\",\"PeriodicalId\":257392,\"journal\":{\"name\":\"2007 IEEE Information Theory Workshop on Information Theory for Wireless Networks\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2007-07-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"12\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2007 IEEE Information Theory Workshop on Information Theory for Wireless Networks\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ITWITWN.2007.4318062\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2007 IEEE Information Theory Workshop on Information Theory for Wireless Networks","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ITWITWN.2007.4318062","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Low Complexity Two Stage Detection Scheme for MIMO Systems
This paper provides an approach to reach a near maximum likelihood performance, for MIMO systems, with a strongly reduced computational effort. This method is based on a two-step detection. The first detection step will be performed by using a MMSE equalizer and a subsequent decision unit The second step is a reduced search (RS) algorithm, that is applied only in a neighborhood of the detected symbols of the first step. For complexity reasons only the least reliable symbols are processed by the RS algorithm. The simulation results show that this MMSE RS detector outperforms the MMSE V-BLAST detector. It provides an improved performance using the same complexity.