Low-Complexity Maximum-Likelihood Detectors Incorporating Pre-Calculated Symbol Metrics for Differential Spatial Modulation

IF 5.5 3区 计算机科学 Q1 COMPUTER SCIENCE, INFORMATION SYSTEMS IEEE Wireless Communications Letters Pub Date : 2025-01-27 DOI:10.1109/LWC.2025.3534899
Ruey-Yi Wei;Chun-Yi Chen
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Abstract

Differential spatial modulation (DSM) eliminates channel estimation and enables the transmission of additional data bits without requiring more radio frequency chains. Space-time block coded DSM (STBC-DSM) employs STBC to improve transmit diversity. However, the complexity of the original maximum-likelihood (ML) detector for either DSM or STBC-DSM grows exponentially with the number of transmit antennas. In our earlier papers, we proposed low-complexity ML detectors, but the same symbol metrics of these detectors are calculated repeatedly. In this letter, we further decrease the complexity of these ML detectors. Symbol metrics are pre-calculated, and DSM metrics are derived by incorporating these symbol metrics. For DSM, the proposed ML detectors are simpler than all existing detectors.
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结合预先计算的差分空间调制符号度量的低复杂性最大似然检测器
差分空间调制(DSM)消除了信道估计,无需更多射频链即可传输额外的数据位。空时分组编码DSM (STBC-DSM)采用时空分组编码来提高发射分集。然而,对于DSM或STBC-DSM,原始的最大似然(ML)检测器的复杂性随着发射天线的数量呈指数增长。在我们早期的论文中,我们提出了低复杂度的ML检测器,但是这些检测器的相同符号度量被重复计算。在这封信中,我们进一步降低了这些ML检测器的复杂性。符号度量是预先计算的,DSM度量是通过合并这些符号度量派生的。对于DSM,所提出的ML检测器比所有现有的检测器更简单。
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来源期刊
IEEE Wireless Communications Letters
IEEE Wireless Communications Letters Engineering-Electrical and Electronic Engineering
CiteScore
12.30
自引率
6.30%
发文量
481
期刊介绍: IEEE Wireless Communications Letters publishes short papers in a rapid publication cycle on advances in the state-of-the-art of wireless communications. Both theoretical contributions (including new techniques, concepts, and analyses) and practical contributions (including system experiments and prototypes, and new applications) are encouraged. This journal focuses on the physical layer and the link layer of wireless communication systems.
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