王惠琴,胡秋,王贺,曹明华.基于训练序列的光信道估计[J].电子测量与仪器学报,2017,31(5):694-699
基于训练序列的光信道估计
Optical channel estimation based on training sequence
  
DOI:10.13382/j.jemi.2017.05.007
中文关键词:  大气激光通信  沙尘信道  信道估计  训练序列
英文关键词:atmospheric laser communication  dust channel  channel estimation  training sequence
基金项目:国家自然科学基金(61465007,61265003,61461026)、兰州理工大学博士基金(14 0232)资助项目
作者单位
王惠琴 兰州理工大学 计算机与通信学院兰州730050 
胡秋 兰州理工大学 计算机与通信学院兰州730050 
王贺 兰州理工大学 计算机与通信学院兰州730050 
曹明华 兰州理工大学 计算机与通信学院兰州730050 
AuthorInstitution
Wang Huiqin School of Computer &Communication, Lanzhou University of Technology, Lanzhou 730050, China 
Hu Qiu School of Computer &Communication, Lanzhou University of Technology, Lanzhou 730050, China 
Wang He School of Computer &Communication, Lanzhou University of Technology, Lanzhou 730050, China 
Cao Minghua School of Computer &Communication, Lanzhou University of Technology, Lanzhou 730050, China 
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中文摘要:
      大气信道的复杂性会引起信道状态参数的随机变化, 这对通信系统性能有很大影响。为此,研究了基于训练序列的沙尘光信道估计,以m序列为训练序列,采用时分复用方式构建了一种基于训练序列的光信道估计方案。该方案利用训练序列中的0序列,构造了一种噪声方差的估计方法。在此基础之上,研究了最小均方误差(MMSE)准则下不同散射路径数和训练序列长度对估计均方误差(MSE)和系统误码性能的影响。研究结果表明,在小信噪比的大气信道中,MMSE准则下散射路径数不宜超过5,m序列长度选63为宜。
英文摘要:
      The complexity of atmospheric channel will cause the random change of channel state parameters, which will have great influence on communication system performance. Thus, the dust optical channel estimation based on training sequence is researched in this paper. Choosing the m sequence as training sequence and adopting time division multiplexing (TDM) technology, an estimation scheme is constructed based on training sequence. Employing the 0 sequence of the training sequence, a noise variance estimation method is constructed in this scheme. On this basis, the impacts of the scattering path number and the training sequence length on the mean square error (MSE) of channel estimation and bit error performance under MMSE criterion are researched. The results show that the number of scattering path should not exceed 5, and 63 is an appropriate choice for m sequence length under MMSE criterion for the low signal to noise ratio atmospheric channel.
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