TY - CHAP U1 - Konferenzveröffentlichung A1 - Rohweder, Daniel A1 - Stern, Sebastian A1 - Fischer, Robert F. H. A1 - Shavgulidze, Sergo A1 - Freudenberger, Jürgen T1 - Low-complexity detection for generalized multistream spatial modulation T2 - 20th International Workshop on Signal Processing Advances in Wireless Communications (SPAWC), 2-5 July 2019, Cannes, France N2 - This work proposes a suboptimal detection algorithm for generalized multistream spatial modulation. Many suboptimal detection algorithms for spatial modulation use two-stage detection schemes where the set of active antennas is detected in the first stage and the transmitted symbols in the second stage. For multistream spatial modulation with large signal constellations the second detection step typically dominates the detection complexity. With the proposed detection scheme, the modified Gaussian approximation method is used for detecting the antenna pattern. In order to reduce the complexity for detecting the signal points, we propose a combined equalization and list decoding approach. Simulation results demonstrate that the new algorithm achieves near-maximum-likelihood performance with small list sizes. It significantly reduces the complexity when compared with conventional two-stage detection schemes. Y1 - 2019 UR - https://ieeexplore.ieee.org/document/8815560 SN - 978-1-5386-6528-2 SB - 978-1-5386-6528-2 U6 - https://doi.org/10.1109/SPAWC.2019.8815560 DO - https://doi.org/10.1109/SPAWC.2019.8815560 N1 - Volltextzugriff für Angehörige der Hochschule Konstanz via Datenbank IEEE Xplore möglich SP - 5 S1 - 5 PB - IEEE ER -