TY  - CHAP
U1  - Konferenzveröffentlichung
A1  - Freudenberger, Jürgen
A1  - Rohweder, Daniel
A1  - Shavgulidze, Sergo
T1  - Low-complexity detection for spatial modulation
T2  - SCC 2019; 12th International ITG Conference on Systems, Communications and Coding, February 11 - 14, 2019, Rostock, Germany
N2  - 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.
Y1  - 2019
UR  - https://ieeexplore.ieee.org/document/8661350
SN  - 978-3-8007-4862-4
SB  - 978-3-8007-4862-4
U6  - https://doi.org/10.30420/454862053
DO  - https://doi.org/10.30420/454862053
N1  - Volltextzugriff für Hochschulangehörige via Datenbank IEEE Xplore möglich
SP  - 309
EP  - 313
PB  - VDE Verlag
CY  - Berlin ; Offenbach
ER  -