发表机构
University of Cassino and Southern Lazio; Consorzio Nazionale Interuniversitario per le Telecomunicazioni; ENEA（卡西诺与南拉齐奥大学; 意大利国立大学电信联盟; 意大利国家新能源与可持续经济发展局）
机构由 AI 辅助整理，请以论文原文为准。AI 中文总结
该研究针对高移动性双色散链路，建立了仅导频BEM信道估计的有效载荷解耦精确条件，提出ZPDI规则并应用于OTFS，GCE-BEM下500km/h时误码率仅比基准差约2dB。
AI 中文摘要
在高移动性双色散链路中，基扩展模型（BEM）可降低信道维度，但未知的有效载荷符号通常会污染传统匹配导频的信道估计。本文建立了此类估计变为与有效载荷无关的精确条件，并推导了保证这些条件的导频、保护间隔与数据放置规则。我们证明了必要且充分的零导频-数据干扰（ZPDI）条件，在此条件下，匹配导频最小二乘（LS）解与简化导频统计量的最大似然（ML）估计量一致。当ZPDI成立时，估计仅需一次预计算投影；若不成立，估计会包含确定性的、信道缩放的有效载荷偏差，且在高信噪比下仍存在。与所选基无关的不相交支持规则通过导频、保护间隔和数据放置实现ZPDI。随后我们将该框架专门应用于正交时频空间（OTFS），考察其结构与性能影响。采用广义复指数BEM（GCE-BEM）时，在高达500km/h的速度下，ZPDI估计量的误码率仅比完美信道状态信息基准差约2dB。
英文摘要
In high-mobility doubly dispersive links, basis expansion models (BEMs) reduce channel dimensionality, yet unknown payload symbols generally contaminate conventional matched-pilot channel estimates. This paper establishes the exact conditions under which such estimates become payload-independent and derives a pilot, guard, and data-placement rule that guarantees these conditions. We prove a necessary-and-sufficient zero pilot--data interference (ZPDI) condition under which the matched-pilot least-squares (LS) solution coincides with the maximum-likelihood (ML) estimator for the reduced pilot statistic. When ZPDI holds, estimation requires a single precomputed projection. When it does not, the estimate contains a deterministic, channel-scaled payload bias that persists at high signal-to-noise ratio. A disjoint-support rule, independent of the selected basis, realizes ZPDI through pilot, guard, and data placement. We then specialize the framework to orthogonal time--frequency space (OTFS) and examine its structural and performance consequences. With the generalized complex-exponential BEM (GCE-BEM), the ZPDI estimator remains within about $2$~dB of the perfect channel state information benchmark in bit error rate at speeds up to 500~km/h.
