{"date_created":"2023-01-30T11:52:07Z","status":"public","_id":"40889","user_id":"43497","year":"2006","author":[{"first_name":"Jun","full_name":"Tong, Jun","last_name":"Tong"},{"full_name":"Ping, Li","last_name":"Ping","first_name":"Li"}],"type":"conference","citation":{"ama":"Tong J, Ping L. Iterative decoding of superposition coding. In: 6th\\ Int.\\ Symp.\\ Turbo Codes & Rel.\\ Top. ; 2006:1–6.","ieee":"J. Tong and L. Ping, “Iterative decoding of superposition coding,” in 6th\\ Int.\\ Symp.\\ Turbo Codes & Rel.\\ Top., 2006, pp. 1–6.","bibtex":"@inproceedings{Tong_Ping_2006, title={Iterative decoding of superposition coding}, booktitle={6th\\ Int.\\ Symp.\\ Turbo Codes & Rel.\\ Top.}, author={Tong, Jun and Ping, Li}, year={2006}, pages={1–6} }","short":"J. Tong, L. Ping, in: 6th\\ Int.\\ Symp.\\ Turbo Codes & Rel.\\ Top., 2006, pp. 1–6.","apa":"Tong, J., & Ping, L. (2006). Iterative decoding of superposition coding. 6th\\ Int.\\ Symp.\\ Turbo Codes & Rel.\\ Top., 1–6.","chicago":"Tong, Jun, and Li Ping. “Iterative Decoding of Superposition Coding.” In 6th\\ Int.\\ Symp.\\ Turbo Codes & Rel.\\ Top., 1–6, 2006.","mla":"Tong, Jun, and Li Ping. “Iterative Decoding of Superposition Coding.” 6th\\ Int.\\ Symp.\\ Turbo Codes & Rel.\\ Top., 2006, pp. 1–6."},"department":[{"_id":"263"}],"page":"1–6","date_updated":"2023-01-30T11:54:29Z","title":"Iterative decoding of superposition coding","abstract":[{"lang":"eng","text":"Clipping is applied to superposition coding systems to reduce the peak-to-average power ratio (PAPR) of the transmitted signal. The performance limit is investigated through evaluating the mutual information driven by the induced peak-power-limited input signals. It is shown that the channel capacity can be approached by clipped superposition coding systems. To alleviate the performance degradation due to clipping noises, we develop a soft compensation algorithm that is combined with soft-input-soft-output (SISO) decoding algorithms in an iterative manner. Simulation results show that with the proposed algorithm, most performance loss can be recovered."}],"publication":"6th\\ Int.\\ Symp.\\ Turbo Codes & Rel.\\ Top."}