首页> 外文期刊>Signal Processing Letters, IEEE >Doppler Spread Estimation by Tracking the Delay-Subspace for OFDM Systems in Doubly Selective Fading Channels
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Doppler Spread Estimation by Tracking the Delay-Subspace for OFDM Systems in Doubly Selective Fading Channels

机译:通过跟踪双选择性衰落信道中OFDM系统的延迟子空间进行多普勒扩频估计

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摘要

In this letter, a novel maximum Doppler spread estimation algorithm is presented for OFDM systems with the comb-type pilot pattern in doubly selective fading channels. First, the least-squared estimated channel frequency responses on pilot tones are used to generate two auto-correlation matrices with different lags. Then, according to these two matrices, a Doppler dependent parameter is measured. Based on a time-varying multipath channel model, the parameter is expanded and then transformed into a nonlinear high-order polynomial equation, from which the maximum Doppler spread is readily solved by using the Newton's method. The delay-subspace is utilized to reduce the noise that biases the estimator. Besides, the subspace tracking algorithm is adopted as well to automatically update the delay-subspace. Simulation results demonstrate that the proposed algorithm converges for a wide range of SNRs and Dopplers.
机译:在这封信中,针对双选择性衰落信道中具有梳状导频模式的OFDM系统,提出了一种新颖的最大多普勒扩展估计算法。首先,导频音上的最小二乘估计信道频率响应用于生成两个具有不同滞后的自相关矩阵。然后,根据这两个矩阵,测量多普勒相关参数。基于时变多径信道模型,对参数进行扩展,然后将其转换为非线性高阶多项式方程,利用牛顿法可以轻松地从中求解出最大多普勒扩展。延迟子空间用于减少偏置估计器的噪声。此外,还采用子空间跟踪算法来自动更新延迟子空间。仿真结果表明,该算法在较大的信噪比和多普勒收敛范围内收敛。

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