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MIMO processing based on higher-order Poincare spheres

机译:基于高阶Poincare球的MIMO处理

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A multi-input multi-output (MIMO) algorithm based on higher-order Poincare spheres is demonstrated for space-division multiplexing (SDM) systems. The MIMO algorithm is modulation format agnostic, robust to frequency offset and does not require training sequences. In this approach, the space-multiplexed signal is decomposed in sets of two tributary signals, with each set represented in a higher-order Poincare sphere. For any arbitrary complex modulation format, the samples of two tributaries can be represented in a given higher-order Poincare sphere with a symmetry plane. The crosstalk along propagation changes the spatial orientation of this plane and, therefore, it can be compensated by computing and realigning the best fit plane. We show how the transmitted signal can be successfully recovered using this procedure for all possible combinations of tributaries. Moreover, we analyze the convergence speed for the MIMO technique considering several optical-to-noise ratios.
机译:针对空分复用(SDM)系统,演示了一种基于高阶Poincare球的多输入多输出(MIMO)算法。 MIMO算法与调制格式无关,对频率偏移具有鲁棒性,并且不需要训练序列。在这种方法中,空间多路复用信号被分解为两个支路信号的集合,每个集合以更高阶的庞加莱球表示。对于任何任意的复杂调制格式,两个支流的样本都可以在具有对称平面的给定高阶Poincare球体中表示。沿着传播的串扰会更改此平面的空间方向,因此,可以通过计算和重新对齐最佳拟合平面来对其进行补偿。我们展示了如何使用此过程对支流的所有可能组合成功地恢复传输的信号。此外,我们考虑了几种光噪声比,分析了MIMO技术的收敛速度。

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