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    杨心凯, 袁伟娜. 基于SVR插值的FBMC系统时变信道估计[J]. 华东理工大学学报(自然科学版), 2018, (5): 760-764. DOI: 10.14135/j.cnki.1006-3080.20170802001
    引用本文: 杨心凯, 袁伟娜. 基于SVR插值的FBMC系统时变信道估计[J]. 华东理工大学学报(自然科学版), 2018, (5): 760-764. DOI: 10.14135/j.cnki.1006-3080.20170802001
    YANG Xin-kai, YUAN Wei-na. A Time-Varying Channel Estimation Based on the SVR-Interpolation in FBMC System[J]. Journal of East China University of Science and Technology, 2018, (5): 760-764. DOI: 10.14135/j.cnki.1006-3080.20170802001
    Citation: YANG Xin-kai, YUAN Wei-na. A Time-Varying Channel Estimation Based on the SVR-Interpolation in FBMC System[J]. Journal of East China University of Science and Technology, 2018, (5): 760-764. DOI: 10.14135/j.cnki.1006-3080.20170802001

    基于SVR插值的FBMC系统时变信道估计

    A Time-Varying Channel Estimation Based on the SVR-Interpolation in FBMC System

    • 摘要: 与正交频分复用(OFDM)技术不同,5G候选技术之一的滤波器组多载波(FBMC)技术由于添加了原型滤波器的设计,各个载波之间不需要完全正交,也不需要插入循环前缀作为保护等操作。然而由于引入了固有的虚部干扰,相应的信道估计也更复杂。良好的信道估计和插值算法对于时刻跟踪时变信道响应的变化是十分必要的。本文提出了一种基于SVR插值的FBMC时变信道估计方法,采用辅助导频消除FBMC系统的虚部干扰,然后基于SVR进行时变信道插值。该算法利用已知的导频符号,在存在传输衰落及非线性噪声的情况下,使用SVR回归拟合估计信道响应系数。在仿真中,将信道矢量建模为单径慢时变瑞利衰落信道。结果表明,与传统算法相比,该方法在运算效率损失不大的情况下,对FBMC信道估计的效果有极大的改善,估计精度更高。

       

      Abstract: Different from the orthogonal frequency division multiplexing (OFDM), the filter bank multi-carrier (FBMC) technology, as one of the 5G candidate technologies, involves the design of prototype filter design, so it is unnecessary for each carrier to be completely orthogonal and to insert a cyclic prefix for protection and other operations. However, due to its inherent imaginary interference, FBMC technique can increase the difficulties in channel estimation. Hence, a robust channel estimation and interpolation algorithm is essential to adequately track the time-varying channel response. In this paper, a SVR interpolation-based time-varying channel estimation of FBMC is proposed, in which the auxiliary pilots are utilized to eliminate the imaginary interference. And then, SVR is utilized to interpolate the time-varying channel vector. At the presence of transmission fading and non-linear noise, the proposed algorithm estimates the channel response coefficient by using SVR regression to fit the channel vector. In the simulation, the channel vector is modeled as a single-path slow-time-varying channel with Rayleigh fading. Simulation results show that, compared with the traditional algorithms, the proposed method can greatly improve the accuracy of channel estimation with little loss of efficiency.

       

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