{"title":"MAP channel estimation with turbo processing for orthogonal space-time block coded MISO systems","authors":"I. Kammoun, M. Siala","doi":"10.1002/ett.1473","DOIUrl":null,"url":null,"abstract":"In this paper, we investigate fast time-varying channel estimation for two orthogonal space–time block-coded systems with either two or three transmit antennas and with one receive antenna. We propose an iterative expectation–maximisation-based maximum a posteriori (MAP) semi-blind algorithm for the estimation of the discrete propagation channels seen from the transmit antennas. This algorithm requires a convenient representation of the channel using a discrete version of the Karhunen-Loeve expansion theorem. It incorporates the coded structure of each block in a turbo-processing fashion and uses the MAP training-based channel estimation algorithm for its optimum initialisation. The transmit antennas are assumed to be spatially correlated for the system with two transmit antennas and spatially uncorrelated for the three-antenna system. The validity of the proposed algorithm is highlighted by simulation results. The performance of the proposed receivers, based on MAP channel estimation, for the two systems approaches that of the perfect channel state information receiver, even for very time selective fading channels. Copyright © 2011 John Wiley & Sons, Ltd.","PeriodicalId":50473,"journal":{"name":"European Transactions on Telecommunications","volume":"209 1","pages":"218-230"},"PeriodicalIF":0.0000,"publicationDate":"2011-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"European Transactions on Telecommunications","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1002/ett.1473","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2
基于turbo处理的正交空时分组编码MISO系统MAP信道估计
本文研究了具有两个或三个发射天线和一个接收天线的两个正交空时分组编码系统的快速时变信道估计问题。我们提出了一种基于迭代期望最大化的最大后验(MAP)半盲算法,用于估计从发射天线看到的离散传播信道。该算法需要使用Karhunen-Loeve展开定理的离散版本来方便地表示信道。它将每个块的编码结构以涡轮处理的方式合并,并使用基于MAP训练的信道估计算法进行最佳初始化。对于具有两个发射天线的系统,假设发射天线空间相关,对于三天线系统,假设发射天线空间不相关。仿真结果验证了该算法的有效性。基于MAP信道估计的两种系统接收机的性能接近于完美信道状态信息接收机的性能,即使对于非常时间选择性衰落信道也是如此。版权所有©2011 John Wiley & Sons, Ltd
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