论文标题
OTFS通道估计和叠加飞行员的数据检测设计
OTFS Channel Estimation And Data Detection Designs With Superimposed Pilots
论文作者
论文摘要
这项工作提出了一个基于叠加的飞行员（SP）基于正交时频空间（OTFS）方案的基于基于基于的通道估计和数据检测框架，其中低功率的飞行员叠加到延迟多个多个域中的数据符号上。我们为SP-OTFS系统提出了两个通道估计和数据检测设计，这些系统与现有的OTFS设计不同，没有为飞行员指定任何插槽，从而提高了它们的光谱效率（SE）。第一个SP设计通过将数据视为干扰来估计通道，从而在高信号与噪声比下降低了其性能。第二个SP设计通过在通道估计和数据检测之间迭代来减轻此问题。这两种设计都使用消息传递算法检测数据，该算法利用了OTFS通道稀疏性，因此计算复杂性较低。我们还在拟议设计的信号与干扰加上噪声比率上得出了一个下限，并通过在数据和试点符号之间最好地分配功率来最大化它。我们从数值上验证了派生的分析结果，并表明所提出的设计比两个最新的OTFS通道估计和数据检测设计都优于SE。
This work proposes a superimposed pilot (SP)-based channel estimation and data detection framework for orthogonal time-frequency space (OTFS) scheme, wherein low-powered pilots are superimposed on to data symbols in the delay-Doppler domain. We propose two channel estimation and data detection designs for SP-OTFS systems which, unlike the existing OTFS designs, do not designate any slots for pilots, which improves their spectral efficiency (SE). The first SP design estimates channel by treating data as interference, which degrades its performance at high signal to noise ratio. The second SP design alleviates this problem by iterating between channel estimation and data detection. Both these designs detect data using message passing algorithm which exploits OTFS channel sparsity, and consequently has low computational complexity. We also derive a lower bound on the signal-to-interference-plus-noise ratio of the proposed designs, and maximize it by optimally allocating power between data and pilot symbols. We numerically validate the derived analytical results, and show that the proposed designs have superior SE than the two state-of-the-art OTFS channel estimation and data detection designs.
