{"title":"基于星座约束的MIMO系统自适应迭代决策反馈与软输出检测","authors":"Peng Li, R. D. Lamare","doi":"10.1109/ISWCS.2011.6125437","DOIUrl":null,"url":null,"abstract":"A low-complexity adaptive iterative decision feedback detection algorithm with constellation constraints (DFCC) is proposed for MIMO systems. In order to reduce the complexity of the DF processing with time-varying channels, the proposed receiver updates the filter weights by using a recursive least squares (RLS) based algorithm. An enhanced adaptive detection and interference cancellation is achieved by introducing multiple constellation points as decision candidates. A complexity reduction strategy is also developed to avoid redundant processing with reliable decisions. By using the tentative decisions, the soft-output is obtained. This highly efficient detector is also incorporated with a multiple branch (MB) architecture to achieve a higher detection diversity order. Simulations show that the proposed DFCC technique has a complexity as low as the adaptive DF detector while it achieves a significant performance gain and approaches the optimal performance.","PeriodicalId":414065,"journal":{"name":"2011 8th International Symposium on Wireless Communication Systems","volume":"45 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2011-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Adaptive iterative decision feedback with constellation constraints and soft-output detection for MIMO systems\",\"authors\":\"Peng Li, R. D. Lamare\",\"doi\":\"10.1109/ISWCS.2011.6125437\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"A low-complexity adaptive iterative decision feedback detection algorithm with constellation constraints (DFCC) is proposed for MIMO systems. In order to reduce the complexity of the DF processing with time-varying channels, the proposed receiver updates the filter weights by using a recursive least squares (RLS) based algorithm. An enhanced adaptive detection and interference cancellation is achieved by introducing multiple constellation points as decision candidates. A complexity reduction strategy is also developed to avoid redundant processing with reliable decisions. By using the tentative decisions, the soft-output is obtained. This highly efficient detector is also incorporated with a multiple branch (MB) architecture to achieve a higher detection diversity order. Simulations show that the proposed DFCC technique has a complexity as low as the adaptive DF detector while it achieves a significant performance gain and approaches the optimal performance.\",\"PeriodicalId\":414065,\"journal\":{\"name\":\"2011 8th International Symposium on Wireless Communication Systems\",\"volume\":\"45 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2011-11-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2011 8th International Symposium on Wireless Communication Systems\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ISWCS.2011.6125437\",\"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 8th International Symposium on Wireless Communication Systems","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISWCS.2011.6125437","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Adaptive iterative decision feedback with constellation constraints and soft-output detection for MIMO systems
A low-complexity adaptive iterative decision feedback detection algorithm with constellation constraints (DFCC) is proposed for MIMO systems. In order to reduce the complexity of the DF processing with time-varying channels, the proposed receiver updates the filter weights by using a recursive least squares (RLS) based algorithm. An enhanced adaptive detection and interference cancellation is achieved by introducing multiple constellation points as decision candidates. A complexity reduction strategy is also developed to avoid redundant processing with reliable decisions. By using the tentative decisions, the soft-output is obtained. This highly efficient detector is also incorporated with a multiple branch (MB) architecture to achieve a higher detection diversity order. Simulations show that the proposed DFCC technique has a complexity as low as the adaptive DF detector while it achieves a significant performance gain and approaches the optimal performance.