Compressive sensing aided data detection for GSM systems in MIMO ISI wireless channels

Research output: Chapter in Book/Report/Conference proceedingConference proceeding contribution

2 Citations (Scopus)


Generalized spatial modulation (GSM) is a variant of spatial modulation (SM) which offers enhanced spectral efficiency with a moderate increase in signal processing complexity. This paper proposes a novel compressive sensing (CS) aided detection algorithm which offers better performance than traditional CS based detection algorithms. In contrast to widely considered frequency-flat channel models, we have adopted frequency-selective wireless channel models to account for high data-rate applications. Our proposed algorithm offers superior performance over traditional CS based algorithms even in the presence of channel estimation errors. Numerical experiments are conducted to investigate the mathematical analysis under different suppositions on channel state information. Normalized mean-square error (NMSE) and bit-error rate (BER) versus signal-to-noise (SNR) curves are studied to investigate the performance under different detection algorithms.

Original languageEnglish
Title of host publicationICC 2015 - 2015 IEEE International Conference on Communications
Place of PublicationPiscataway, N.J.
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
Number of pages5
ISBN (Electronic)9781467364324, 9781467364317
Publication statusPublished - Jun 2015
EventIEEE International Conference on Communications, ICC 2015 - London, United Kingdom
Duration: 8 Jun 201512 Jun 2015

Publication series

NameIEEE International Conference on Communications
ISSN (Print)1550-3607


OtherIEEE International Conference on Communications, ICC 2015
CountryUnited Kingdom

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