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首页> 外文期刊>Eurasip Journal on Wireless Communications and Networking >Degenerated-Inverse-Matrix-Based Channel Estimation for OFDM Systems
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Degenerated-Inverse-Matrix-Based Channel Estimation for OFDM Systems

机译:OFDM系统中基于退化逆矩阵的信道估计

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摘要

This paper addresses time-domain channel estimation for pilot-symbol-aided orthogonal frequency division multiplexing (OFDM) systems. By using a cyclic sine-function matrix uniquely determined by N_c transmitted subcarriers, the performance of our proposed scheme approaches perfect channel state information (CSI), within a maximum of 0.4 dB degradation, regardless of the delay spread of the channel, Doppler frequency, and subcarrier modulation. Furthermore, reducing the matrix size by splitting the dispersive channel impulse response into clusters means that the degenerated inverse matrix estimator (DIME) is feasible for broadband, high-quality OFDM transmission systems. In addition to theoretical analysis on normalized mean squared error (NMSE) performance of DIME, computer simulations over realistic nonsample spaced channels also showed that the DIME is robust for intersymbol interference (ISI) channels and fast time-invariant channels where a minimum mean squared error (MMSE) estimator does not work well.
机译:本文介绍了导频符号辅助正交频分复用(OFDM)系统的时域信道估计。通过使用由N_c个传输的子载波唯一确定的循环正弦函数矩阵,我们提出的方案的性能可以在不超过0.4 dB的最大衰减范围内逼近完美的信道状态信息(CSI),无论信道的延迟扩展,多普勒频率,和副载波调制。此外,通过将色散信道脉冲响应分为多个簇来减小矩阵尺寸,意味着退化的逆矩阵估计器(DIME)对于宽带高质量OFDM传输系统是可行的。除了对DIME的均方根误差(NMSE)性能进行理论分析外,对现实的非样本间隔信道的计算机仿真还表明,DIME对于符号间干扰(ISI)信道和最小均方误差最小的快速时不变信道具有鲁棒性(MMSE)估算器效果不佳。

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