徐大专

教授 博士生导师

个人信息

招生学科专业:
信息与通信工程 -- 【招收博士、硕士研究生】 -- 电子信息工程学院
电子信息 -- 【招收博士、硕士研究生】 -- 电子信息工程学院
学位:工学博士学位
性别:男
毕业院校:南京航空航天大学
学历:南京航空航天大学
所在单位:电子信息工程学院
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Design of Luby Transform Codes with Gray-Mapped 16-QAM over AWGN Channels

发表时间:2018-11-13 点击次数:
所属单位:电子信息工程学院
发表刊物:Can Conf Electr Comput Eng
摘要:In this paper, we investigate Gray-mapped 16-QAM modulated Luby Transform (LT) codes over additive white Gaussian noise (AWGN) channels. Degree distributions for LT codes with a BPSK modulation have been well studied in the literature but those distributions provide unsatisfactory bit-error-rate (BER) performance under high order constellations. To improve the BER performance of LT codes with Gray-mapped QAM, this paper presents a novel optimization design of degree distributions. First, we put forth the concept of variance-to-mean ratio (VMR) in a Gaussian distribution because that the variance is two times larger than the mean in the conventional Gaussian approximation (GA) no longer applies for QAM. Second, we provide a generalized GA process using the obtained VMRs to analyze the asymptotic BER performance of LT codes and furthermore lower bound on BER. Third, aiming at minimizing the average degree of degree distribution, we propose a novel model constrained by the lower bound on BER. Simulation results show that the degree distribution offered by the proposed optimization model can provide outstanding BER performance of LT codes with Gray-mapped 16-QAM over the AWGN channel. © 2018 IEEE.
ISSN号:0840-7789
是否译文:
发表时间:2018-08-27
合写作者:Xu, Shengkai
通讯作者:徐大专
发表时间:2018-08-27

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