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English(EN) Neural Network-Assisted CLEAN for Efficient Multipath Parameter Estimation in MIMO Systems

新型NN-CLEAN方法加速MIMO多径估计

研究人员开发了一种名为神经网络辅助CLEAN(NN-CLEAN)的新方法,以改进MIMO系统中的多径参数估计。该方法用多头分类器取代了计算密集型多维搜索,显著减少了处理时间和内存使用量。虽然NN-CLEAN与传统的网格搜索CLEAN(GS-CLEAN)相比提供了显著的速度和内存节省,但在多径分量数量较多时,其精度略有下降。尽管如此,NN-CLEAN在应用于复杂信道模型时,在信道重建均方误差和误比特率方面显示出显著降低。 AI

影响 该方法通过减少多径估计的计算负荷,可能带来更高效的无线通信系统。

排序理由 该条目是一篇学术论文,详细介绍了一种用于MIMO系统信号处理的新方法。[lever_c_demoted from research: ic=1 ai=0.7]

在 arXiv cs.LG 阅读 →

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新型NN-CLEAN方法加速MIMO多径估计

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该条目是一篇学术论文,详细介绍了一种用于MIMO系统信号处理的新方法。[lever_c_demoted from research: ic=1 ai=0.7]
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报道来源 [1]

  1. arXiv cs.LG TIER_1 English(EN) · Chaofan Deng, Linyu Sun, Jaeho Lee, Zishen Wan, Arijit Raychowdhury ·

    基于神经网络辅助CLEAN的高效MIMO系统多径参数估计

    arXiv:2611.13298v1 Announce Type: new Abstract: High-resolution multipath estimation in wideband multiple-input multiple-output (MIMO) channels requires repeated searches over angle of arrival, angle of departure, and propagation distance. This paper presents neural network-assis…