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