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

Author

Ping, Li ; Tong, Jun ; Yuan, Xiaojun ; Guo, Qinghua

Author_Institution

Dept. of Electron. Eng., City Univ. of Hong Kong, Hong Kong

fYear

2008

fDate

1-5 Sept. 2008

Firstpage

192

Lastpage

197

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.

Keywords

iterative methods; least mean squares methods; modulation coding; signal detection; signalling; telecommunication channels; coded multiary system; iterative linear minimum-mean-square-error detection; linear channel; semianalytical evolution technique; signal-to-noise ratio; signaling scheme; superposition coded modulation; AWGN; Detectors; Modulation coding; Performance analysis; Quadrature amplitude modulation; Signal design; Signal to noise ratio; Transmitters; Turbo codes; Vectors;

fLanguage

English

Publisher

ieee

Conference_Titel

Turbo Codes and Related Topics, 2008 5th International Symposium on

Conference_Location

Lausanne

Print_ISBN

978-1-4244-2862-5

Electronic_ISBN

978-1-4244-2863-2

Type

conf

DOI

10.1109/TURBOCODING.2008.4658696

Filename

4658696