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

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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Publication Details

Journal
IEEE Wireless Communications Letters
Published
2025-01-27
DOI
https://doi.org/10.1109/lwc.2025.3534899
Citations
2
Primary Topic
Blind Source Separation Techniques
Type
article
Field-Weighted Citation Impact
2.97
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article

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

Chun-Yi Chen, Ruey-Yi Wei
2 citations
IEEE Wireless Communications Letters
Blind Source Separation Techniques
2.97
article

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

Chun-Yi Chen, Ruey-Yi Wei
article en
2 citations

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.

IEEE Wireless Communications LettersVol. 14(4)
National Central University (TW)
Openalex Percentile: Top 12%
Blind Source Separation Techniques
2.97
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