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Low-complexity detection for generalized multistream spatial modulation

  • 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.

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Metadaten
Author:Daniel Rohweder, Sebastian Stern, Robert F. H. Fischer, Sergo ShavgulidzeORCiD, Jürgen FreudenbergerORCiDGND
URL:https://ieeexplore.ieee.org/document/8815560
DOI:https://doi.org/10.1109/SPAWC.2019.8815560
ISBN:978-1-5386-6528-2
Parent Title (English):20th International Workshop on Signal Processing Advances in Wireless Communications (SPAWC), 2-5 July 2019, Cannes, France
Publisher:IEEE
Document Type:Conference Proceeding
Language:English
Year of Publication:2019
Release Date:2020/01/13
Pagenumber:5
Note:
Volltextzugriff für Angehörige der Hochschule Konstanz 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 (English):License LogoLizenzbedingungen IEEE