AI 中文总结
研究Zak-OTFS的帧间信道预测问题，利用有效DD域信道滤波器系数的确定性变化和子空间不变性，提出新颖的确定性ESPIRIT型方法，可基于训练帧系数预测未来几十帧及频率间隔几十帧的帧的信道滤波器。
AI 中文摘要
Zak-正交时频空间（OTFS）调制在高移动性场景中对多普勒扩展具有鲁棒性。本文研究Zak-OTFS是否可进行帧间信道预测，即能否基于另一帧中Zak-OTFS载波的信道响应准确预测某帧中该载波的信道响应。研究表明帧间信道预测可行，有效DD域信道滤波器系数随时间和频率从当前帧到未来帧有确定性变化，连续帧的信道滤波器系数子空间对时频离散移位不变。利用这些特性提出一种新颖的确定性ESPIRIT型方法，用训练帧中估计的有效DD域信道滤波器抽头/系数预测未来几十帧及频率上几十帧间隔的帧的有效DD域信道滤波器。
英文摘要
Zak-Orthogonal Time Frequency Space (OTFS) modulation is known to be robust to Doppler spread in high mobility scenarios when compared to Orthogonal Frequency Division Multiplexing (OFDM). This is due to the fact that the channel response to a Zak-OTFS carrier within a frame can be accurately estimated from the channel response to another carrier within the same frame. However, an important open problem and question is whether inter-frame channel prediction is possible with Zak-OTFS, i.e., is it possible to accurately predict the channel response to a Zak-OTFS carrier in a frame based on knowledge of the channel response to some Zak-OTFS carrier in \emph{another} frame (i.e., not the same frame). In this paper we show that indeed inter-frame channel prediction is possible. We show that the effective DD domain channel filter coefficients vary in a deterministic manner as we move from current to future frames in time and frequency. We also show that the subspace spanned by channel filter coefficients of consecutive frames in time/frequency is invariant to discrete shifts in time and frequency. We exploit the deterministic variation and subspace invariance to propose a novel deterministic ESPIRIT-type method which uses the effective DD domain channel filter taps/coefficients estimated in training frames (i.e., current/past frames in time and frequency having both pilot and data carriers) to predict the effective DD domain channel filter for frames which are several tens of frames in future and several tens of frames away in frequency.
