北京邮电大学学报

  • EI核心期刊

北京邮电大学学报 ›› 2012, Vol. 35 ›› Issue (4): 94-98.doi: 10.13190/jbupt.201204.94.mengqp

• 研究报告 • 上一篇    下一篇

基于先验信息辅助的8PSK信号信噪比估计

孟庆萍1,周新力2,田伟3   

  1. 1.海军航空工程学院 研究生管理大队2.海军航空工程学院 电子工程系3.海军航空工程学院 训练部
  • 收稿日期:2011-10-18 修回日期:2011-12-12 出版日期:2012-08-28 发布日期:2012-07-08
  • 通讯作者: 孟庆萍 E-mail:mqp1984@163.com
  • 作者简介:孟庆萍(1984-),女,博士生,Email:mqp1984@163.com 周新力(1964-),男,教授,博士生导师

Priori Information Aided SNR Estimation Algorithm for 8PSK Signal

MENG Qing-ping1,ZHOU Xin-li2,TIAN Wei3   

  1. 1. Graduate Students Brigade, Naval Aeronautical and Astronautical University 2. Department of Electronic and Information Engineering, Naval Aeronautical and Astronautical University 3. Training Department, Naval Aeronautical and Astronautical University,
  • Received:2011-10-18 Revised:2011-12-12 Online:2012-08-28 Published:2012-07-08
  • Contact: Qing-ping MENG E-mail:mqp1984@163.com

摘要:

基于最大似然序列估计准则, 提出了3种先验信息辅助的8PSK调制信号的信噪比估计方法. 与现有硬判决辅助的信噪比估计方法进行了比较, 解决了现有方法在低信噪比时估计误差较大的问题. 分析了3种方法在Turbo均衡系统中初始迭代以及迭代进行过程中的性能, 根据不同的迭代次数, 在不同的方法之间进行切换会提高信噪比的估计精度, 并降低计算复杂度. 新方法只需要利用很少的数据符号就能得到准确的结果, 并且能适用较大的信噪比范围.

关键词: 信噪比估计, 先验信息, 硬判决辅助, 软判决辅助, 先验概率辅助

Abstract:

Three priori information aided SNR estimation algorithm is proposed based on maximum likelihood sequential criterion. Compared with the existing harddecision aided SNR estimation algorithm, the proposed algorithm decreases estimation error in low SNR state. The performance of the algorithm in the beginning of iteration and in the next iterations in turbo equalizer is analyzed. According to different number of iteration, switching one algorithm to another can raise the estimation precision, and lower complexity. The new algorithms only use small number of data symbols, they can also handle a large range of SNR.

Key words: SNR estimation, priori information, harddecision aided, softdecision aided, priori probability aided

中图分类号: