Variable-Block-Length Joint Channel Estimation and Data Detection for Spatial Modulation Over Time-Varying Channels
Variable-Block-Length Joint Channel Estimation and Data Detection for Spatial Modulation Over Time-Varying Channels
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DOI：
10.1109/tvt.2020.3023718
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发表时间：
2020-09
影响因子：
6.8
通讯作者：
Yuya Akiba;T. Ishihara;S. Sugiura
中科院分区：
文献类型：
--
作者：
Yuya Akiba;T. Ishihara;S. Sugiura
本文提出了一种新的变块长度联合信道估计和数据检测算法，该算法将数据帧分成多个块，以逐块的方式估计信道状态信息（CSI）。更具体地，在每个块中，迭代地执行基于最大似然的数据检测和信道估计，其中检测到的数据块被用作长导频序列以更新CSI。我们的仿真结果表明，该方案的性能是能够接近一个完美的CSI场景。此外，所提出的方案优于最近的矩形差分空间调制方案，而没有任何实质性的成本方面的前导开销和检测复杂度。
We propose novel variable-block-length joint channel estimation and data detection for spatial modulation over time-varying channels, where the data frame is divided into multiple blocks, and channel state information (CSI) is estimated in a block-by-block manner. More specifically, in each block maximum-likelihood-based data detection and channel estimation are iteratively carried out, where the detected data block is used as a long pilot sequence to update CSI. Our simulation results demonstrate that the performance of the proposed scheme is capable of approaching that of a perfect-CSI scenario. Moreover, the proposed scheme outperforms the recent rectangular differential spatial modulation scheme, without any substantial cost in terms of the preamble overhead and detection complexity.