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首页> 外文期刊>IEEE Transactions on Signal Processing >LDPC-Coded MIMO Systems With Unknown Block Fading Channels: Soft MIMO Detector Design, Channel Estimation, and Code Optimization
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LDPC-Coded MIMO Systems With Unknown Block Fading Channels: Soft MIMO Detector Design, Channel Estimation, and Code Optimization

机译：具有未知块衰落信道的LDPC编码MIMO系统：软MIMO检测器设计，信道估计和代码优化

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摘要

This paper considers the design of a practical low-density parity check (LDPC)-coded multiple-input multiple-output (MIMO) system composed of M transmit and N receive antennas operating in a flat-fading environment where channel state information (CSI) is assumed to be unavailable both to the transmitter and the receiver. A soft iterative receiver structure is developed, which consists of three main blocks: a soft MIMO detector and two LDPC component soft decoders. We first propose at the component level several soft-input soft-output MIMO detectors whose performances are much better than the conventional minimal mean square error (MMSE)-based detectors. In particular, one optimal soft MIMO detector and two simplified suboptimal detectors are developed that do not require an explicit channel estimate and offer an effective tradeoff between complexity and performance. In addition, a modified expectation maximization (EM)-based MIMO detector is developed that completely removes positive feedback between input and output extrinsic information and provides much better performance compared with the direct EM-based detector that has strong correlations especially in fast-fading channels. At the structural level, the LDPC-coded MIMO receiver is constructed in an unconventional manner where the soft MIMO detector and LDPC variable node decoder form one super soft-decoding unit, and the LDPC check node decoder forms the other component of the iterative decoding scheme. By exploiting the proposed receiver structure, tractable extrinsic information transfer functions of the component soft decoders are obtained, which further lead to a simple and efficient LDPC code degree profile optimization algorithm with proven global optimality and guaranteed convergence from any initialization. Finally, numerical and simulation results are provided to confirm the advantages of the proposed design approach for the coded MIMO system.
机译：本文考虑了一种实用的低密度奇偶校验（LDPC）编码的多输入多输出（MIMO）系统的设计，该系统由M个发射天线和N个接收天线组成，工作在信道状态信息（CSI）平坦衰落的环境中假设发射器和接收器均不可用。开发了一种软迭代接收器结构，该结构包括三个主要模块：一个软MIMO检测器和两个LDPC组件软解码器。我们首先在组件级别上提出几种软输入软输出MIMO检测器，其性能远优于基于传统最小均方误差（MMSE）的检测器。特别地，开发了一种最优的软MIMO检测器和两个简化的次优检测器，它们不需要显式的信道估计，并且在复杂度和性能之间提供了有效的折衷。此外，开发了一种基于改进的基于期望最大化（EM）的MIMO检测器，与具有强相关性的直接基于EM的检测器相比，该方法完全消除了输入和输出外部信息之间的正反馈，并提供了更好的性能，尤其是在快速衰落的信道中。在结构级别上，以非常规方式构造LDPC编码的MIMO接收机，其中，软MIMO检测器和LDPC可变节点解码器构成一个超级软解码单元，而LDPC校验节点解码器构成迭代解码方案的另一部分。 。通过利用提出的接收器结构，获得了组件软解码器的易处理的外部信息传递函数，这进一步导致了一种简单有效的LDPC码度分布优化算法，该算法具有经过验证的全局最优性，并保证了任何初始化的收敛性。最后，通过数值和仿真结果验证了所提出的编码MIMO系统设计方法的优势。

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