Low-Complexity Detection for Generalized Multistream Spatial Modulation
Low-Complexity Detection for Generalized Multistream Spatial Modulation
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DOI：
10.1109/spawc.2019.8815560
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发表时间：
2019-07
期刊：
影响因子：
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通讯作者：
Daniel Rohweder;S. Stern;R. Fischer;S. Shavgulidze;J. Freudenberger
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文献类型：
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作者：
Daniel Rohweder;S. Stern;R. Fischer;S. Shavgulidze;J. Freudenberger
本文提出了一种广义多流空间调制的次优检测算法。许多用于空间调制的次优检测算法使用两阶段检测方案，其中在第一阶段检测有源天线集，在第二阶段检测传输的符号。对于具有大信号星座的多流空间调制，第二步检测通常控制着检测复杂度。在该检测方案中，采用改进的高斯逼近方法对天线方向图进行检测。为了降低信号点检测的复杂度，我们提出了一种均衡与列表译码相结合的方法。仿真结果表明，新算法在较小的列表大小下实现了接近最大似然的性能。与传统的两阶段检测方案相比，显著降低了复杂度。
This work proposes a suboptimal detection algorithm for generalized multistream spatial modulation. Many suboptimal detection algorithms for spatial modulation use two-stage detection schemes where the set of active antennas is detected in the first stage and the transmitted symbols in the second stage. For multistream spatial modulation with large signal constellations the second detection step typically dominates the detection complexity. With the proposed detection scheme, the modified Gaussian approximation method is used for detecting the antenna pattern. In order to reduce the complexity for detecting the signal points, we propose a combined equalization and list decoding approach. Simulation results demonstrate that the new algorithm achieves near-maximum-likelihood performance with small list sizes. It significantly reduces the complexity when compared with conventional two-stage detection schemes.