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Performance analysis of multi-ary systems with iterative linear minimum-mean-square-error detection

Conference Paper


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Abstract


  • This paper is concerned with coded multi-ary systems over linear channels. Based on a semi-analytical evolution technique, the impact of signaling schemes on the performance of low-cost iterative linear minimum-mean-square-error (LMMSE) detection is studied. It is shown that superposition coded modulation (SCM) maximizes the output signal-to-noise ratio (SNR) of LMMSE detectors. Consequently, SCM may potentially outperform other conventional signaling schemes when LMMSE detectors are used. Numerical examples are provided to verify the theoretical analysis. © 2008 IEEE.

UOW Authors


Publication Date


  • 2008

Citation


  • L. Ping, J. Tong, X. Yuan & Q. Guo, "Performance analysis of multi-ary systems with iterative linear minimum-mean-square-error detection," in 5th International Symposium on Turbo Codes and Related Topics, TURBOCODING, 2008, pp. 192-197.

Scopus Eid


  • 2-s2.0-57849163708

Ro Full-text Url


  • http://ro.uow.edu.au/cgi/viewcontent.cgi?article=1984&context=eispapers

Ro Metadata Url


  • http://ro.uow.edu.au/eispapers/975

Has Global Citation Frequency


Start Page


  • 192

End Page


  • 197

Place Of Publication


  • United States

Abstract


  • This paper is concerned with coded multi-ary systems over linear channels. Based on a semi-analytical evolution technique, the impact of signaling schemes on the performance of low-cost iterative linear minimum-mean-square-error (LMMSE) detection is studied. It is shown that superposition coded modulation (SCM) maximizes the output signal-to-noise ratio (SNR) of LMMSE detectors. Consequently, SCM may potentially outperform other conventional signaling schemes when LMMSE detectors are used. Numerical examples are provided to verify the theoretical analysis. © 2008 IEEE.

UOW Authors


Publication Date


  • 2008

Citation


  • L. Ping, J. Tong, X. Yuan & Q. Guo, "Performance analysis of multi-ary systems with iterative linear minimum-mean-square-error detection," in 5th International Symposium on Turbo Codes and Related Topics, TURBOCODING, 2008, pp. 192-197.

Scopus Eid


  • 2-s2.0-57849163708

Ro Full-text Url


  • http://ro.uow.edu.au/cgi/viewcontent.cgi?article=1984&context=eispapers

Ro Metadata Url


  • http://ro.uow.edu.au/eispapers/975

Has Global Citation Frequency


Start Page


  • 192

End Page


  • 197

Place Of Publication


  • United States