[1]吕心浩,李焱,张浩波,等. 针对相位噪声的广义软判决辅助相位估计算法[J].浙江科技学院学报,2019,(05):365-372.
　LYU Xinhao,LI Yan,ZHANG Haobo,et al. Generalized softdecisionaided phase estimation for phase noise[J].,2019,(05):365-372.
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《浙江科技学院学报》[ISSN:2097-5236/CN:33-1431/Z]

卷:
期数:
2019年05期
页码:
365-372
栏目:
出版日期:
2019-10-31

文章信息/Info

Title:
 Generalized softdecisionaided phase estimation for phase noise
文章编号:
1671-8798(2019)05-0365-08
作者:
 吕心浩; 李焱; 张浩波; 周武杰; 吴茗蔚
 浙江科技学院 信息与电子工程学院，杭州 310023；苏州工业园区 新国大研究院先进微电子器件中心，
江苏 苏州 215123；浙江省信息处理与通信网络重点实验室，杭州 310027
Author(s):
 LYU Xinhao;  LI Yan;  ZHANG Haobo;  ZHOU Wujie;  WU Mingwei
 School of Information and Electronic Engineering, Zhejiang University of Science and Technology, Hangzhou 310023, Zhejiang, China;Centre of Advanced Microelectronic Devices, National University of Singapore （Suzhou）Research Institute, Suzhou 215123, Jiangsu, China;Zhejiang Provincial Key
Laboratory of InformationProcessing, Communication and Networking, Hangzhou 310027, Zhejiang, China
关键词:
 ; 相干光通信; 最大似然; 相位估计; 软判决辅助
分类号:
TN929.11
文献标志码:
A
摘要:
 判决辅助最大似然（DAML）和软判决辅助最大似然（SDAML）载波相位估计器均假定静态分块载波相位，因此在高信噪比下会出现误差下限。通过引入多元高斯分布模型，提出广义SDAML相位估计算法，并通过分解信道协方差矩阵来降低计算复杂度。仿真试验结果表明，对于高阶QAM调制，广义SDAML可以显著降低DAML和传统SDAML的误差下限。

参考文献/References:

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备注/Memo

备注/Memo:
收稿日期: 2019-01-24基金项目: 国家自然科学基金项目（61302112，61571316）；教育部留学回国人员科研启动基金项目（教外司留〔2013〕1792号）；浙江科技学院“科大青年英才”项目（浙科院人〔2014〕9号）；浙江省信息处理与通信网络重点实验室开放课题（IPCAN1806）通信作者: 吴茗蔚（1977—），女，浙江省杭州人，副教授，博士，主要从事无线通信和光通信物理层传输技术研究。
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