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Low-complexity time-domain channel estimators for mobile wireless OFDM systems

机译:用于移动无线OFDM系统的低复杂度时域信道估计器

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This paper proposes low-complexity time-domain channel estimators for OFDM systems. Time-domain channel estimation combined with frequency domain equalization is an attractive approach, since it can provide lower complexity and better estimator performance than pure frequency domain processing. In the particular case of constant modulus (M-PSK) modulation, we show that the transmission matrix is unitary. Therefore, the simple correlator channel estimator turns out to be optimal. For the case of non-constant envelope the transmission matrix is not unitary any more, but its corresponding correlation matrix is strongly diagonal. Therefore, a low-complexity approximate LS solution is proposed which avoids matrix inversion. A study of decision-feedback errors is performed, which suggest that iterative re-decoding of the data further improves the channel estimates. Simulations carried out for a wide range of mobile speeds demonstrate that the proposed estimators, using only 2% of pilot data, outperform recently proposed [T. Roman et al, 2003] time-and frequency-domain approaches.
机译:本文提出了用于OFDM系统的低复杂度时域信道估计器。时域信道估计与频域均衡相结合是一种有吸引力的方法,因为与纯频域处理相比,它可以提供更低的复杂度和更好的估计性能。在恒定模量(M-PSK)调制的特定情况下,我们表明传输矩阵是单一的。因此,简单的相关器信道估计器被证明是最优的。对于非恒定包络的情况,传输矩阵不再是单一的,但是其对应的相关矩阵是强对角线的。因此,提出了一种避免矩阵求逆的低复杂度近似LS解。进行了对决策反馈错误的研究,这表明数据的迭代重新解码进一步改善了信道估计。针对广泛的移动速度进行的仿真表明,仅使用2%的导频数据,所提出的估算器就比最近提出的[T. Roman et al。,2003]时域和频域方法。

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