{"status":"public","date_updated":"2023-01-30T11:55:56Z","page":"192–197","year":"2008","citation":{"short":"L. Ping, J. Tong, X. Yuan, Q. Guo, in: 5th\\ Int.\\ Symp.\\ Turbo Codes &#38; Rel.\\ Top., 2008, pp. 192–197.","ama":"Ping L, Tong J, Yuan X, Guo Q. Performance analysis of multi-ary systems with iterative linear minimum-mean-square-error detection. In: <i>5th\\ Int.\\ Symp.\\ Turbo Codes &#38; Rel.\\ Top.</i> ; 2008:192–197. doi:<a href=\"https://doi.org/10.1109/TURBOCODING.2008.4658696\">10.1109/TURBOCODING.2008.4658696</a>","apa":"Ping, L., Tong, J., Yuan, X., &#38; Guo, Q. (2008). Performance analysis of multi-ary systems with iterative linear minimum-mean-square-error detection. <i>5th\\ Int.\\ Symp.\\ Turbo Codes &#38; Rel.\\ Top.</i>, 192–197. <a href=\"https://doi.org/10.1109/TURBOCODING.2008.4658696\">https://doi.org/10.1109/TURBOCODING.2008.4658696</a>","mla":"Ping, Li, et al. “Performance Analysis of Multi-Ary Systems with Iterative Linear Minimum-Mean-Square-Error Detection.” <i>5th\\ Int.\\ Symp.\\ Turbo Codes &#38; Rel.\\ Top.</i>, 2008, pp. 192–197, doi:<a href=\"https://doi.org/10.1109/TURBOCODING.2008.4658696\">10.1109/TURBOCODING.2008.4658696</a>.","chicago":"Ping, Li, Jun Tong, Xiaojun Yuan, and Qinghua Guo. “Performance Analysis of Multi-Ary Systems with Iterative Linear Minimum-Mean-Square-Error Detection.” In <i>5th\\ Int.\\ Symp.\\ Turbo Codes &#38; Rel.\\ Top.</i>, 192–197, 2008. <a href=\"https://doi.org/10.1109/TURBOCODING.2008.4658696\">https://doi.org/10.1109/TURBOCODING.2008.4658696</a>.","ieee":"L. Ping, J. Tong, X. Yuan, and Q. Guo, “Performance analysis of multi-ary systems with iterative linear minimum-mean-square-error detection,” in <i>5th\\ Int.\\ Symp.\\ Turbo Codes &#38; Rel.\\ Top.</i>, 2008, pp. 192–197, doi: <a href=\"https://doi.org/10.1109/TURBOCODING.2008.4658696\">10.1109/TURBOCODING.2008.4658696</a>.","bibtex":"@inproceedings{Ping_Tong_Yuan_Guo_2008, title={Performance analysis of multi-ary systems with iterative linear minimum-mean-square-error detection}, DOI={<a href=\"https://doi.org/10.1109/TURBOCODING.2008.4658696\">10.1109/TURBOCODING.2008.4658696</a>}, booktitle={5th\\ Int.\\ Symp.\\ Turbo Codes &#38; Rel.\\ Top.}, author={Ping, Li and Tong, Jun and Yuan, Xiaojun and Guo, Qinghua}, year={2008}, pages={192–197} }"},"date_created":"2023-01-30T11:52:03Z","publication":"5th\\ Int.\\ Symp.\\ Turbo Codes & Rel.\\ Top.","type":"conference","title":"Performance analysis of multi-ary systems with iterative linear minimum-mean-square-error detection","department":[{"_id":"263"}],"author":[{"first_name":"Li","full_name":"Ping, Li","last_name":"Ping"},{"last_name":"Tong","full_name":"Tong, Jun","first_name":"Jun"},{"full_name":"Yuan, Xiaojun","last_name":"Yuan","first_name":"Xiaojun"},{"full_name":"Guo, Qinghua","last_name":"Guo","first_name":"Qinghua"}],"user_id":"43497","abstract":[{"text":"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.","lang":"eng"}],"_id":"40863","doi":"10.1109/TURBOCODING.2008.4658696"}