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A low complexity lattice reduction aided detection based on Gram-Schmidt

机译:基于Gram-Schmidt的低复杂性晶格减少辅助检测

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In this paper, we proposes a low-complexity lattice-reduction aided detection (LRAD) based on the Gram-Schmidt (GS) procedure in multi-input multi-output (MIMO) communications. The conventional LRAD achieves good bit error ratios (BERs) because it reduces the column vectors of the channel matrix close to orthogonal using LLL Algorithm. The proposed detection method reduces the column vectors of the channel matrix mutually purely orthogonal using the LLL algorithm and then the GS procedure, and achieve more reliable estimation of the transmitted signals than the conventional LLL algorithm. The BER curves for the proposed detection is steeper than the conventional LRAD with low complexity.
机译:在本文中,我们提出了一种基于多输入多输出(MIMO)通信中的Gram-Schmidt(GS)程序的低复杂性晶格还原辅助检测(LRAD)。传统的LRAD实现了良好的误码比(BERS),因为它使用LLL算法减少了接近正交的信道矩阵的列向量。所提出的检测方法使用LLL算法互相正交地减少了信道矩阵的列向量,然后将GS过程实现了比传统的LLL算法更可靠地估计所发送的信号。所提出的检测的BER曲线比具有低复杂性的传统LRAD陡峭。

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