【摘要】 面向车辆无线通信、卫星通信等高移动性场景，正交时频空（OTFS）调制具有适应快速时变无线信道的特性，使其成为6G的候选技术之一。针对零符号填充正交时频空系统（ZP-OTFS）嵌入式导频（EP）信道估计算法中导频及保护符号开销较大且没有充分利用时变信道特性的问题，文中提出一种导频嵌入零符号帧结构辅助的帧平均算法（FACEA）。采用时延时间域信号联合门限判决矩阵进行信道预估计，通过对连续多帧OTFS信号预估计矩阵的平均，得到时域信道矩阵。仿真结果表明，该算法在终端用户高速移动场景下性能优于现有嵌入式导频辅助信道估计算法，且在不同快速时变信道下该算法也表现出较好的鲁棒性，在特定信道下实现了信道估计最佳性能。更多还原

【Abstract】 In scenarios with high mobility, such as vehicle wireless communication and satellite communication, the orthogonal time frequency space(OTFS) modulation has the characteristics of adapting to fast time-varying wireless channels,which makes it one of the candidate technologies for 6G. In view of the high cost for pilot and guard symbols and the insufficient utilization of time-varying channel properties in the embedded-pilot(EP) channel estimation algorithm for zero padding-orthogonal time frequency space(ZP-OTFS) systems, a pilot embedded zero-symbol frame structure assisted frame-averaged channel estimation algorithm(FACEA) is proposed. The channel pre-estimation is performed by a joint threshold decision matrix based on delayed time domain signals, and the pre-estimated matrices of the consecutive multi-frame OTFS signal is averaged, so as to obtain the time domain channel matrix. The simulation results indicate that the algorithm surpasses the existing EP-assisted channel estimation algorithms in terms of performance under high-speed mobility scenarios for end users, and demonstrates better robustness in various fast time-varying channels. Therefore, the proposed algorithm realizes the optimal characteristics of channel estimation in a specific channel.更多还原