计算机与现代化

• 网络与通信 • 上一篇    下一篇

空时分组码盲识别技术综述

  

  1. 1.海军航空工程学院电子信息工程系,山东烟台264001;2.海军航空工程学院融合所,山东烟台264001;
     3.海军装备部,山西太原030027
  • 收稿日期:2015-07-03 出版日期:2015-09-21 发布日期:2015-09-24
  • 作者简介:闫文君(1986-),男,山东莱州人,海军航空工程学院电子信息工程系博士研究生,研究方向:信号识别,空时分组码识别; 张立民(1966-),男,辽宁开原人,海军航空工程学院融合所教授, 博士,研究方向:军用电子系统仿真,卫星信号处理; 凌青(1987-),女,湖南衡阳人,博士研究生,研究方向:MIMO,空时分组码; 孔东明(1985-),男,河南焦作人,海军装备部工程师,硕士,研究方向: 信号识别。
  • 基金资助:
     国家自然科学基金资助项目(61102167)

Review of Blind Classification for STBC

  1. 1. Department of Electronic and Information Engineering, Naval Aeronautical and Astronautical University, Yantai 264001, China; 
     2. Institute of Information Fusion, Naval Aeronautical and Astronautical University, Yantai 264001, China;
     3. Equipment Department of the Navy, Taiyuan 030027, China
  • Received:2015-07-03 Online:2015-09-21 Published:2015-09-24

摘要:

信号盲识别在无线通信领域中取得了大量应用成果,其中空时分组码的盲识别问题是信号盲识别中一个新的重要问题。针对空时分组码类型识别中的最大似然算法和基于特征参数的算法进
行了归纳。首先介绍空时分组码识别在无线通信技术中的地位和作用,然后对现有空时分组码类型识别算法进行分类,分析每种算法的关键技术和基本识别思想,最后对现有的算法进行总结,对空时分
组码类型识别算法未来的发展难点和热点进行了展望。

关键词:  , 信号处理, 空时分组码, 相关函数, 循环平稳

Abstract:

 Blind signal classification, a major task of wireless communication area, has important applications. Classification of space-time block code (STBC) is a new
important area in blind signal classification. The maximum likelihood based and feature based algorithms for classification of STBC was concluded. Firstly the position of
classification of STBC in wireless communication systems was introduced. Secondly the category of classification algorithms was illustrated. Thirdly, the key steps and basic
ideas of the algorithms were analyzed. And finally, the proposed algorithms were summarized and the future development of classification of STBC was pointed out.

Key words:  signal processing, space-time block bode, correlation function, cyclostationarity