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Matrix Approximate Inversion Based Signal Detection in Large-scale 3D-MIMO Systems

机译:大规模3D-MIMO系统中基于矩阵近似求逆的信号检测

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Signal detection is one of the fundamental problems in three-dimensional multiple-input multiple-output (3D-MIMO) wireless communication systems. This paper addresses a signal detection problem in 3D-MIMO system, in which matrix approximate inversion techniques is considered. It is well known that the signal detection accuracy of nonlinear signal detection algorithm is improved compared with the linear signal detection algorithm in MIMO systems, but its hardware requirements are higher in practical applications. Therefore, a more easily implemented linear signal detection algorithm is needed in MIMO systems. This paper studies the equivalent matrix inversion method based on linear equation generation and introduces the signal detection scheme based on matrix approximate inversion in large-scale 3D MIMO systems.
机译:信号检测是三维多输入多输出(3D-MIMO)无线通信系统中的基本问题之一。本文解决了3D-MIMO系统中的信号检测问题,其中考虑了矩阵近似反演技术。众所周知,与MIMO系统中的线性信号检测算法相比,非线性信号检测算法的信号检测精度有所提高,但在实际应用中对硬件的要求较高。因此,在MIMO系统中需要更容易实现的线性信号检测算法。本文研究了基于线性方程生成的等效矩阵求逆方法,并介绍了大规模3D MIMO系统中基于矩阵近似求逆的信号检测方案。

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