在OTFS调制中使用压缩感知进行叠加信道估计
Superimposed Channel Estimation in OTFS Modulation Using Compressive Sensing
AI总结：
本文提出了一种基于压缩感知的OTFS信道估计方法，利用稀疏恢复算法和消息传递检测器，实现无导频开销的高效信道参数估计。
摘要：
正交时频空域（OTFS）技术是一种二维调制方法，它在延迟-多普勒（DD）域内复用信息符号。OTFS能够对抗高速无线通信中存在的高多普勒频移。然而，传统的OTFS信道估计存在高导频开销的问题，因为保护符号占据了大量的DD域网格。在本文中，提出了一种叠加信道估计方法，该方法可以完全估计信道参数，而无需考虑导频开销和性能退化。由于DD域内的信道状态信息（CSI）是稀疏的，因此使用稀疏恢复算法正交匹配追踪（OMP）进行处理。此外，所提出的方法不遭受高峰值对平均功率比（PAPR）。为了检测信息符号，采用了一个消息传递（MP）检测器，该检测器利用了DD信道表示的稀疏性。
英文摘要：
Orthogonal time frequency space (OTFS) technique is a two-dimensional modulation method that multiplexes information symbols in the delay-Doppler (DD) domain. OTFS combats high Doppler shift existing in high speed wireless communication. However, conventional channel estimation in OTFS suffers from high pilot overhead because guard symbols occupy a significant part of the DD domain grids. In this paper, a superimposed channel estimation is proposed which can completely estimate channel parameters without considering pilot overhead and performance degradation. As the channel state information (CSI) in the DD domain is sparse, a sparse recovery algorithm orthogonal matching pursuit (OMP) is used. Besides, our proposed method does not suffer from high peak to average power ratio (PAPR). To detect information symbols, a message passing (MP) detector, which exploits the sparsity of DD channel representation, is employed.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
