Space–Time Turbo Equalization With Successive Interference Cancellation for Frequency-Selective MIMO Channels
Space–Time Turbo Equalization With Successive Interference Cancellation for Frequency-Selective MIMO Channels
复制标题
DOI：
10.1109/tvt.2007.914061
复制
发表时间：
2008-09
影响因子：
6.8
通讯作者：
T. Ait-Idir;S. Saoudi;N. Naja
中科院分区：
文献类型：
--
作者：
T. Ait-Idir;S. Saoudi;N. Naja
研究了多输入多输出(MIMO)频率选择性衰落信道中的迭代空时均衡问题。针对空时比特交织编码调制(STBICM)传输，提出了一种新的基于连续干扰消除(SIC)的软均衡概念。提出的均衡器允许我们分离符号间干扰(ISI)和多天线干扰(MAI)功能。采用低复杂度次优最小均方误差(MMSE)准则连续抑制软ISI。码间干扰和多址干扰的解耦为整个空时均衡器的设计提供了更大的灵活性。可以考虑不同的多天线检测准则，从简单的检测器到最优的最大后验概率(MAP)准则。特别是，我们引入了两种软均衡器，称为SIC/SIC和SIC/MAP，与其他Turbo均衡器方案相比，我们证明了它们可以在许多系统配置下提供良好的性能与复杂度折衷。本文还介绍了一种基于MMSE的迭代信道状态信息(CSI)估计算法，并证明了当所提出的软SIC空时均衡器与基于MMSE的CSI估计器迭代时，可以获得令人满意的性能。
This paper addresses the issue of iterative space-time equalization for multiple-input-multiple-output (MIMO) frequency-selective fading channels. A new soft equalization concept based on successive interference cancellation (SIC) is introduced for a space-time bit-interleaved coded modulation (STBICM) transmission. The proposed equalizer allows us to separate intersymbol interference (ISI) and multiantenna interference (MAI) functions. Soft ISI is successively suppressed using a low-complexity suboptimum minimum mean square error (MMSE) criterion. The decoupling of ISI and MAI offers more flexibility in the design of the whole space-time equalizer. Different multiantenna detection criteria can be considered, ranging from simple detectors to the optimal maximum a posteriori (MAP) criterion. In particular, we introduce two soft equalizers, which are called SIC/SIC and SIC/MAP, and we show that they can provide a good performance-to-complexity tradeoff for many system configurations, as compared with other turbo equalization schemes. This paper also introduces an MMSE-based iterative channel state information (CSI) estimation algorithm and shows that attractive performance can be achieved when the proposed soft SIC space-time equalizer iterates with the MMSE-based CSI estimator.