Block-iterative generalized decision feedback equalizers for large MIMO systems: algorithm design and asymptotic performance analysis
Block-iterative generalized decision feedback equalizers for large MIMO systems: algorithm design and asymptotic performance analysis
复制标题
DOI：
10.1109/tsp.2006.873485
复制
发表时间：
2006-06
影响因子：
5.4
通讯作者：
Ying-Chang Liang;Sumei Sun;Chin Keong Ho
中科院分区：
文献类型：
--
作者：
Ying-Chang Liang;Sumei Sun;Chin Keong Ho
研究了大信号维数下多输入多输出（MIMO）信道的信号检测问题。我们提出了一种块迭代广义判决反馈均衡（BI-GDFE）接收机，以块迭代的方式恢复发送的符号。通过利用输入决策相关性，早期决策的可靠性的措施，我们设计的前馈均衡器（FFE）和反馈均衡器（FBE）的方式，最大化的信号干扰噪声比（SINR）是实现每次迭代。新颖的实现也被引入，以简化接收机的复杂性，这只需要一个抽头滤波器的FFE和FBE。当信号维数大于观测维数时，该接收机也能工作。所提出的接收机的渐近性能进行了分析，其收敛性已被证实，通过数值计算的各种参数。计算机仿真结果表明，该接收机的能力，以实现单用户匹配滤波器界（MFB）的大随机MIMO信道时，接收SNR是足够高的。
This paper studies the problem of signal detection for multiple-input multiple-output (MIMO) channels with large signal dimensions. We propose a block-iterative generalized decision feedback equalization (BI-GDFE) receiver to recover the transmitted symbols in a block-iterative manner. By exploiting the input-decision correlation, a measure for the reliability of the earlier-made decisions, we design the feed-forward equalizers (FFEs) and feedback equalizers (FBEs) in such a way that maximized signal-to-interference-plus-noise ratio (SINR) is achieved for each of the iterations. Novel implementations are also introduced to simplify the complexity of the receiver, which requires only one-tap filters for FFE and FBE. The proposed receiver also works when the signal dimension is greater than the observation dimension. The asymptotic performance of the proposed receiver is analyzed and its convergence has been confirmed through numerical evaluations for various parameters. Computer simulations are presented to illustrate the capability of the proposed receiver to achieve single user matched-filter bound (MFB) for large random MIMO channels when the received SNR is high enough.