面向5G高速移动场景的基于GFDM调制的BEM-wiener信道估计算法  

BEM-Wiener Channel Estimation Based on GFDM Modulation for 5G High-speed Mobile Scenario

作　　者：张钰婷[1,2] 吴虹 杨梦焕[1,2] 耿雪 刘兵 Zhang Yuting;Wu Hong;Yang Menghuan;Geng Xue;Liu Bing(College of Electronic Information and Optical Engineering,Nankai University,Tianjin 300350,China;Tianjin Key Laboratory of Optoelectronic Sensor and Sensing Network Technology,Tianjin 300350,China;Institute of Internet of Things Technology,Wuxi Vocational College of Science and Technology,Wuxi 214028,China)

机构地区：[1]南开大学电子信息与光学工程学院,天津300350 [2]天津市光电传感器与传感网络技术重点实验室,天津300350 [3]无锡科技职业学院物联网技术学院,江苏无锡214028

出　　处：《南开大学学报（自然科学版）》2022年第2期50-58,共9页Acta Scientiarum Naturalium Universitatis Nankaiensis

基　　金：国家自然科学基金(61571244);天津市重点研发计划科技支撑重点项目(16YFZCSF00540),天津市重点研发计划科技支撑重点项目(18YFZCGX00480)。

摘　　要：针对5G中的高速移动场景,设计了面向快时变信道的导频结构,对快时变信道下系统ICI进行了分析,并提出了一种基于GFDM数据块的BEM 2维滑动维纳滤波信道估计方案以降低ICI所带来的性能损失.仿真结果能够有效地抑制高速移动带来的频域弥散,降低相邻子载波间的干扰,同时由于滑动维纳滤波的采用,降低了运算的复杂度.A pilot structure is designed for fast time-varying channels for high-speed mobile scenes in 5G. ICI is analysed under fast time-varying channels and a BEM two-dimensional sliding Wiener filtering channel estimation scheme is proposed based on GFDM data blocks to reduce ICI(Inter Carrier Interference) to improve the performance loss caused by inter-interference. From the simulation results, the scheme can effectively suppress the frequency domain dispersion caused by high-speed mobile and reduce the interference between adjacent sub-carriers. At the same time, due to the adoption of sliding Wiener filtering, the operation is greatly reduced the complexity.

关 键 词：广义频分复用 5G ICI干扰 BEM 滑动维纳滤波 

分 类 号：TN911.5[电子电信—通信与信息系统]