Low-complexity detection for spatial modulation
- The computational complexity of the optimal maximum likelihood (ML) detector for spatial modulation increases rapidly as more transmit antennas or larger modulation orders are employed. Hence, ML detection may be infeasible for higher bit rates. This work proposes an improved suboptimal detection algorithm based on the Gaussian approximation method. It is demonstrated that the new method is closely related to the previously published signal vector based detection and the modified maximum ratio combiner, but can improve the detection performance compared to these methods. Furthermore, the performance of different signal constellations with suboptimal detection is investigated. Simulation results indicate that the performance loss compared to ML detection depends heavily on the signal constellation, where the recently proposed Eisenstein integer constellations are beneficial compared to classical QAM or PSK constellations.
| Author: | Jürgen FreudenbergerORCiDGND, Daniel RohwederORCiD, Sergo ShavgulidzeORCiD |
|---|---|
| URL: | https://ieeexplore.ieee.org/document/8661350 |
| DOI: | https://doi.org/10.30420/454862053 |
| ISBN: | 978-3-8007-4862-4 |
| Parent Title (English): | SCC 2019; 12th International ITG Conference on Systems, Communications and Coding, February 11 - 14, 2019, Rostock, Germany |
| Publisher: | VDE Verlag |
| Place of publication: | Berlin ; Offenbach |
| Document Type: | Conference Proceeding |
| Language: | English |
| Year of Publication: | 2019 |
| Release Date: | 2020/01/13 |
| First Page: | 309 |
| Last Page: | 313 |
| Note: | Volltextzugriff für Hochschulangehörige via Datenbank IEEE Xplore möglich |
| Institutes: | Institut für Systemdynamik - ISD |
| DDC functional group: | 000 Allgemeines, Informatik, Informationswissenschaft |
| Relevance: | Keine peer reviewed Publikation (Wissenschaftlicher Artikel und Aufsatz, Proceeding, Artikel in Tagungsband) |
| Open Access?: | Nein |
| Licence (German): |  Urheberrechtlich geschützt |
