电子、通信与自动控制

信道估计辅助的缩小搜索范围高阶QAM 解映射算法

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  • 1.长安大学 电子与控制工程学院,陕西 西安 710064; 2.西北工业大学 电子信息学院,陕西 西安 710072
徐娟(1980-),女,博士,讲师,主要从事先进信道编码、高速数据传输技术研究.

收稿日期: 2013-11-26

  修回日期: 2014-02-26

  网络出版日期: 2014-04-01

基金资助

国家自然科学基金资助项目(61271416);航天支撑基金资助项目(2013- HT- XGD);西北工业大学基础研究基金资助项目(JCY20130132)

Channel Estimation- Assisted Demapping Algorithm of High- Order QAM within Shrunk Search Range

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  • 1.School of Electronic and Control Engineering,Chang'an University,Xi'an 710064,Shaanxi,China;2.School of Electronics and Information,Northwestern Polytechnical University,Xi'an 710072,Shaanxi,China
徐娟(1980-),女,博士,讲师,主要从事先进信道编码、高速数据传输技术研究.

Received date: 2013-11-26

  Revised date: 2014-02-26

  Online published: 2014-04-01

Supported by

国家自然科学基金资助项目(61271416);航天支撑基金资助项目(2013- HT- XGD);西北工业大学基础研究基金资助项目(JCY20130132)

摘要

正交幅度调制(QAM)技术具有较高的功率效率和带宽利用率,已广泛应用于多种通信系统中.高阶 QAM 解映射搜索范围很大,复杂度高.为此,文中引入软判决贡献因子来衡量参考星座点对解映射的贡献,提出了缩小搜索范围的高阶 QAM 解映射算法;文中还讨论了算法的边界情况,研究了信道估计辅助的自适应搜索范围选择方案.仿真结果表明:在获得与全集合搜索范围相同的误码性能的前提下,文中所提算法大大减小了搜索范围,4096- QAM 和 1024- QAM 解映射搜索范围仅分别为全集合搜索范围的12.7% 和19.7%;文中算法能较好地平衡性能和解映射复杂度,具有较好的工程应用前景.

本文引用格式

徐娟 姚如贵 南花妮 高凡琪 . 信道估计辅助的缩小搜索范围高阶QAM 解映射算法[J]. 华南理工大学学报(自然科学版), 2014 , 42(5) : 16 -22 . DOI: 10.3969/j.issn.1000-565X.2014.05.003

Abstract

QAM (Quadrature Amplitude Modulation) is broadly used in various communication systems thanks toits high power efficiency and bandwidth utilization.High- order QAM,because of its wide search range,may resultin high demapping complexity.In order to solve this problem,a novel concept of soft- decision contribution factor isintroduced to evaluate the contribution of reference constellation to the demapping,and a demapping algorithm ofhigh- order QAM within shrunk search range is proposed.Then,some boundary conditions of the algorithm are dis-cussed,and an adaptive selection scheme of search range is finally presented with the assistance of channel estima-tion.Simulated results indicate that (1) the proposed algorithm downsizes the search range without any sacrifice of BER performance; (2) 4096- QAM and 1024- QAM respectively shrink their search range to 12.7% and 19.7% ofthat of the whole constellation; and (3) as the proposed algorithm makes good tradeoff between performance anddemapping complexity.it has a good prospect of engineering application.

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