{"title":"多用户MIMO系统的迭代同步方案","authors":"Yuan Tian, Xia Lei, Yue Xiao, Shaoqian Li","doi":"10.1109/ISABEL.2010.5702847","DOIUrl":null,"url":null,"abstract":"In multi-user multi-input multi-output (MIMO) systems, multiple timing and frequency offsets may occur in the procedure of synchronization. Conventional MIMO synchronization methods deal with timing and frequency offsets separately. In fact, these methods can not achieve the best performances because the unknown parameters will interfere with each other. In this paper, we propose a joint timing-frequency offsets and channel estimation method in multi-user MIMO systems. Based on a maximum-likelihood (ML) estimation model, an iterative space-alternating generalized expectation-maximization (SAGE) estimator is adopted to solve the multi-dimensional extreme-value problem. Simulations show that the performances of the proposed scheme are better than the conventional method.","PeriodicalId":165367,"journal":{"name":"2010 3rd International Symposium on Applied Sciences in Biomedical and Communication Technologies (ISABEL 2010)","volume":"18 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2010-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"An iterative synchronization scheme for multi-user MIMO systems\",\"authors\":\"Yuan Tian, Xia Lei, Yue Xiao, Shaoqian Li\",\"doi\":\"10.1109/ISABEL.2010.5702847\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In multi-user multi-input multi-output (MIMO) systems, multiple timing and frequency offsets may occur in the procedure of synchronization. Conventional MIMO synchronization methods deal with timing and frequency offsets separately. In fact, these methods can not achieve the best performances because the unknown parameters will interfere with each other. In this paper, we propose a joint timing-frequency offsets and channel estimation method in multi-user MIMO systems. Based on a maximum-likelihood (ML) estimation model, an iterative space-alternating generalized expectation-maximization (SAGE) estimator is adopted to solve the multi-dimensional extreme-value problem. Simulations show that the performances of the proposed scheme are better than the conventional method.\",\"PeriodicalId\":165367,\"journal\":{\"name\":\"2010 3rd International Symposium on Applied Sciences in Biomedical and Communication Technologies (ISABEL 2010)\",\"volume\":\"18 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2010-11-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2010 3rd International Symposium on Applied Sciences in Biomedical and Communication Technologies (ISABEL 2010)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ISABEL.2010.5702847\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2010 3rd International Symposium on Applied Sciences in Biomedical and Communication Technologies (ISABEL 2010)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISABEL.2010.5702847","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
An iterative synchronization scheme for multi-user MIMO systems
In multi-user multi-input multi-output (MIMO) systems, multiple timing and frequency offsets may occur in the procedure of synchronization. Conventional MIMO synchronization methods deal with timing and frequency offsets separately. In fact, these methods can not achieve the best performances because the unknown parameters will interfere with each other. In this paper, we propose a joint timing-frequency offsets and channel estimation method in multi-user MIMO systems. Based on a maximum-likelihood (ML) estimation model, an iterative space-alternating generalized expectation-maximization (SAGE) estimator is adopted to solve the multi-dimensional extreme-value problem. Simulations show that the performances of the proposed scheme are better than the conventional method.