Maximum Doppler spread estimation by tracking the delay-subspace for LOFDM systems in doubly dispersive fading channels

Meng Gao, Yue-hong Shen, Zhi-Gang Yuan
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引用次数: 5

Abstract

In this work, a novel maximum Doppler spread estimation algorithm is specifically designed for Lattice-OFDM (LOFDM) systems with the optimal 2D cluster pilot pattern in doubly dispersive channels. The LMMSE channel estimation is adopted instead of LS method for accurate original channel estimation, which is used to generate two auto-correlation matrices with different lags. The maximum Doppler spread is acquired by inverting the time correlation function. Since the noise term will bias the estimator, the estimated channel frequency responses (CFR's) are projected onto the delay subspace of the channel to reduce the bias term as well as the computation complexity. Furthermore, the subspace tracking algorithm is adopted to automatically update the delay subspace. Simulation results demonstrate the proposed algorithm can quickly converge to the true values for a wide range of SNR's and Doppler spreads in doubly dispersive channels.
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双色散衰落信道下LOFDM系统时延子空间跟踪的最大多普勒扩频估计
在这项工作中,专门设计了一种新的最大多普勒传播估计算法,用于在双色散信道中具有最优2D簇导频模式的栅格ofdm (LOFDM)系统。采用LMMSE信道估计代替LS方法进行精确的原始信道估计,利用LMMSE信道估计生成两个不同滞后的自相关矩阵。最大多普勒扩频是通过逆时间相关函数得到的。由于噪声项会使估计器产生偏置,因此将估计的信道频率响应(CFR)投影到信道的延迟子空间中以减小偏置项并降低计算复杂度。采用子空间跟踪算法对延迟子空间进行自动更新。仿真结果表明,在双色散信道中,该算法可以在较宽的信噪比和多普勒频散范围内快速收敛到真实值。
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