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Spatial modulation and space-time shift keying: optimal performance at a reduced detection complexity

Xu, Chao, Sugiura, Shinya, Ng, Soon Xin and Hanzo, Lajos (2013) Spatial modulation and space-time shift keying: optimal performance at a reduced detection complexity IEEE Transactions on Communications, 61, (1), pp. 206-216. (doi:10.1109/TCOMM.2012.100312.120251).

Record type: Article

Abstract

Abstract—In this paper, we propose a comprehensive reduced-
complexity detector both for hard-decision-aided as well as for
the soft-decision-assisted Spatial Modulation (SM)/Space-Time
Shift Keying (STSK). More explicitly, the detection of the SM
scheme, which activates a single one out of M antennas to
transmit a single LPSK/QAM symbol, may be carried out by
detecting the antenna activation index m and the LPSK/QAM
symbol sl separately, so that the detection complexity may be
reduced from the order of O(M · L) to the lower bound of
O(M + log2 L). However, the QAM aided STSK hard detection
proposed in [1] results in a performance loss. Furthermore, the
Max-Log-MAP algorithm proposed for soft STSK detection in [2]
only takes into account the maximum a posteriori probabilities,
which also imposed a performance degradation. Therefore, in
this paper, we propose a novel solution for hard-decision-aided
SM/STSK detection, which retains its optimal performance,
despite its reduced detection complexity, when either LPSK
or LQAM is employed. Furthermore, we propose the reduced-
complexity Approx-Log-MAP algorithm conceived for the soft-
decision-aided SM/STSK detector, in order to replace the sub-
optimal Max-Log-MAP algorithm.
Index Terms—Spatial Modulation, Space-Time Shift Keying,
Reduced complexity design, Turbo detection.

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More information

Accepted/In Press date: 13 July 2012
Published date: January 2013
Organisations: Southampton Wireless Group

Identifiers

Local EPrints ID: 341173
URI: http://eprints.soton.ac.uk/id/eprint/341173
PURE UUID: 033fda15-d1ec-4946-a4af-7375169f4966

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Date deposited: 17 Jul 2012 10:13
Last modified: 18 Jul 2017 05:38

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Contributors

Author: Chao Xu
Author: Shinya Sugiura
Author: Soon Xin Ng
Author: Lajos Hanzo

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