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Apr, 2020
基于模块化神经网络的深度学习MIMO信号检测方法
A Modular Neural Network Based Deep Learning Approach for MIMO Signal Detection
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Songyan Xue, Yi Ma, Na Yi, Terence E. Dodgson
TL;DR
本文介绍了利用模块化神经网络实现多天线信号检测,通过降低干扰和信号扩展以及神经网络的设计来达到减小量化误差的目的。本文的方法可以通过模块化来降低学习复杂度,并具有优于其他基于深度学习的MIMO检测方法的性能。
Abstract
In this paper, we reveal that
artificial neural network
(ANN) assisted multiple-input multiple-output (MIMO) signal detection can be modeled as ANN-assisted lossy vector quantization (VQ), named
mimo-vq
, which is
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