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Independent component analysis based semi-blind equalization for multiuser-CoMP OFDM systems with low-complexity estimation of multiple CFOs

机译:基于多个CFO的低复杂性估计的多用户COMM系统的半盲均衡基于半盲均衡的基于半盲均衡

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We propose a low-complexity carrier frequency offset (CFO) estimation method and an independent component analysis (ICA) based semi-blind equalization structure for multiuser and coordinated multi-point (CoMP) OFDM systems. A group of orthogonal sequences is employed to enable separation and simultaneous estimation of multiple CFOs, dividing the multi-dimensional search into series of low-complexity mono-dimensional searches. The ICA is used for equalization, with a small number of pilot symbols employed for ambiguity elimination in the ICA equalized signals. The proposed semi-blind equalization structure slightly outperforms the previous precoding aided scheme, with a lower complexity. It also provides a almost same BER performance to the case of zero forcing (ZF) and minimum mean square error (MMSE) based equalization with perfect CSI and no CFO at the receiver.
机译:我们提出了一种低复杂度载波频率偏移(CFO)估计方法和基于多用户和协调多点(COMP)OFDM系统的半盲均衡结构的独立分量分析(ICA)。 采用一组正交序列来实现多个CFO的分离和同时估计,将多维搜索分成一系列低复杂性单维搜索。 ICA用于均衡,具有用于ICA均衡信号中的模糊消除的少量导频符号。 所提出的半盲均衡结构略高于先前的预编码辅助方案,具有较低的复杂性。 它还为零强制(ZF)和最小均方误差(MMSE)的均衡提供了几乎相同的BER性能,与完美的CSI和接收器没有CFO。

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