Joint channel estimation and decoding design for 5G-enabled V2V channel
Joint channel estimation and decoding design for 5G-enabled V2V channel
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DOI：
10.1109/cc.2018.8424581
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发表时间：
2018-07
影响因子：
4.1
通讯作者：
Xuanfan Shen;Yong Liao;X. Dai;Ming Zhao;Kai Liu;Dan Wang
中科院分区：
文献类型：
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作者：
Xuanfan Shen;Yong Liao;X. Dai;Ming Zhao;Kai Liu;Dan Wang
研究了具有高移动性和非平稳特性的5G车对车（V2V）信道中的信道估计问题。针对正交频分复用（OFDM）系统，在接收端采用扩展卡尔曼滤波（EKF）结合迭代检测解码（IDD）进行信道估计，以提高信道估计精度。EKF被提出用于联合估计信道频率响应和时变时间相关系数。采用IDD结构减小EKF的估计误差。仿真结果表明，与传统方法相比，该方法有效地提高了系统性能。
This paper addresses the problem of channel estimation in 5G-enabled vehicular-to-vehicular (V2V) channels with high-mobility environments and non-stationary feature. Considering orthogonal frequency division multiplexing (OFDM) system, we perform extended Kalman filter (EKF) for channel estimation in conjunction with Iterative Detector & Decoder (IDD) at the receiver to improve the estimation accuracy. The EKF is proposed for jointly estimating the channel frequency response and the time-varying time correlation coefficients. And the IDD structure is adopted to reduce the estimation errors in EKF. The simulation results show that, compared with traditional methods, the proposed method effectively promotes the system performance.