基于压缩感知的低复杂度分数时延信道估计方法

发布时间：2018-06-24 09:56

本文选题：分数时延 + 正交频分复用　；参考：《电子测量与仪器学报》2017年05期

【摘要】：基于压缩感知(compressed sensing,CS)技术的信道估计方法已被应用于正交频分复用(orthogonal frequency division multiplexing,OFDM)系统的信道估计中以提高频谱利用率。然而,传统的时域普通采样方法会导致信道测量矩阵不够精细,无法精确恢复信道状态信息。针对这一问题,提出利用分数时延信道模型模拟系统的无线多径信道,利用接收端时域过采样方法细化信道测量矩阵以提高信道估计精度。同时,为了克服由时域过采样导致的算法复杂度增加的问题,提出一种改进正交匹配追踪算法(modified orthogonal matching pursuit,MOMP)。仿真实验结果表明,在分数时延信道条件下,提出的接收端时域过采样方法能准确检测到信道的分数时延且提出的MOMP算法能显著降低估计算法的计算复杂度。
[Abstract]:The channel estimation method based on compressed sensing CS technology has been applied to the channel estimation of orthogonal frequency division multiplexing (orthogonal frequency division) systems to improve the spectral efficiency. However, the conventional time domain sampling method will lead to the channel measurement matrix is not precise enough to accurately restore the channel state information. To solve this problem, a fractional delay channel model is proposed to simulate the wireless multipath channel. The channel measurement matrix is refined by time-domain oversampling at the receiver to improve the channel estimation accuracy. At the same time, in order to overcome the complexity problem caused by oversampling in time domain, an improved orthogonal matching tracking algorithm (modified orthogonal matching pursuit mop) is proposed. The simulation results show that the proposed time domain oversampling method can accurately detect the fractional delay of the channel and the proposed MOMP algorithm can significantly reduce the computational complexity of the estimation algorithm.
【作者单位】：湖南大学电气与信息工程学院;
【基金】：中央国有资本经营预算项目(财企[2013]470号) 中央高校基本科研项目(2014-004) 国家自然科学基金(61540012) 中国博士后科研基金(2014M562100) 湖南省科技计划重点项目(2015JC3053) 教育部产学合作协同育人项目(201601004010)资助
【分类号】：TN911.7

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