OTFS-IM channel estimation and data detection algorithm with a superimposed pilot pattern

Rabah Ouchikh, A. Aïssa-El-Bey, T. Chonavel, M. Djeddou
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引用次数: 0

Abstract

Orthogonal time frequency space modulation (OTFS) has been proved to have better performance over orthogonal frequency division multiplexing (OFDM) under high-mobility environments. In this manuscript, we address the challenging problem of channel estimation in high-mobility scenarios for 5G and beyond. To improve the spectral efficiency of the system, we combine superimposed pilots with index modulation paradigm. Indeed, we propose an iterative algorithm for channel estimation and symbol detection with superimposed pilot pattern for OTFS-IM systems. The proposed algorithm iterates between LMMSE-based data detection and data-aided channel estimation. Performance in terms of spectral efficiency and bit error rate are evaluated and compared against state-of-the-art methods.
基于叠加导频模式的OTFS-IM信道估计和数据检测算法
在高移动环境下,正交时频空间调制(OTFS)比正交频分复用(OFDM)具有更好的性能。在本文中,我们解决了5G及以后高移动性场景中信道估计的挑战性问题。为了提高系统的频谱效率,我们将叠加导频与指数调制模式相结合。实际上,我们提出了一种基于叠加导频模式的OTFS-IM系统信道估计和符号检测的迭代算法。该算法在基于lmmse的数据检测和数据辅助信道估计之间迭代。在频谱效率和误码率方面的性能进行了评估,并与最先进的方法进行了比较。
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