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.
Authors
- Chun-Yi Chen
- Ruey-Yi Wei (ORCID: https://orcid.org/0000-0002-2966-9651)
Institutions
- National Central University (TW)
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