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基于叠加序列的信道估计的研究 被引量：2

Channel Estimation Based on Superimposed Training
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摘要 通信的主要任务就是在接收的信号中恢复发送信号。这就需要知道信道的冲击响应。因此信道估计是通信系统中的重要一环。文章介绍了一种在发送序列之上叠加周期训练序列,利用周期训练序列来进行信道估计的方法,并提出了基于叠加周期训练序列的信道阶数估计方法。并对其进行了仿真分析。 The main objective of communication is to recover the information from the transmitter at the receiver. It needs knowing the channel impulses. So the channel estimation is the important part of the shortwave communication. In this paper, a method to perform channel estimation is introduced, which use a periodical training sequence added to the information sequence And a new method is proposed for determining the steps of the channel. At last, it gives the simulation results.
作者 谭恢勇 毕崇 周新力 王伟
机构地区 海军航空工程学院电子信息工程系 海军航空工程学院研究生管理大队 海军飞行学院教研部实验中心
出处 《舰船电子工程》 2010年第2期78-80,118,共4页 Ship Electronic Engineering
关键词 信道估计 叠加序列 阶数判定 channel estimation, superimposed training, steps determine
分类号 TN919 [电子电信—通信与信息系统]
  • 相关文献

参考文献8

  • 1Nguyen V D, Patzold M. Least. Square Channel Estimation Using Special Training Sequences for MIMOOFDM Systems[C]//Nordic Radio Symposium 2004 Oulu, Finland,2004(8) : 16-18.
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  • 5OROZCO-LUGO A G, LARA M M, MCLERNON D C. Channel estimation using implicit training[J]. IEEE Trans Signal Processing, 2004,52 (1) : 240-254.
  • 6李元杰,杨绿溪,何振亚.基于隐训练序列的信道估计与跟踪[J].通信学报,2004,25(12):1-7. 被引量：20
  • 7TUGNAIT J K, LUO W. On channel estimation using superimposed training and first-order statistics [C]// Proc IEEE ICASSP'03. USA,2003 : 624-627.
  • 8A. G Orozco-Lugo, M. M. Lara, D. C. McLemon. Channel Estimation Using Implicit Training[J]. IEEE Trans. Signal Processing, 2004,52(1) : 240-254.

二级参考文献8

  • 1GIANNAKIS G B, HUA Y, STOICA P, et al. Signal Processing Advances in Wireless and Mobile Communications: Trends in Channel Estimation and Equalization [M]. Englewood Cliffs, NJ,2001.
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共引文献19

同被引文献20

  • 1李元杰,杨绿溪,何振亚.基于隐训练序列的信道估计与跟踪[J].通信学报,2004,25(12):1-7. 被引量：20
  • 2BernardSklar.数字通信一基础与应用[M].第2版.北京:电子工业出版社,2008:115-116.
  • 3Orozco-Lugo A G, Lara M M, McLemon D C. Channel Estimation Using Implicit Training [ J ]. IEEE Trans on Signal Processing, 2004, 52(1): 240-254.
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  • 6Liavas A P, Regalia P A. Delmas J P. Blind Channel Approximation: Effective Channel Order Determination [ C]. In Signals, Systems and Computers, 1998 Confer- ence Record of the Thirty- Second ASILOMAR Confer- ence, France, 1998,2 : 1153-1157.
  • 7Gerstacker W H, Taylor D P. Blind Channel Order Esti- mation based on Second-Order Statistics [ J]. IEEE Sig- nal Processing Letters, 2003, 10(2) : 39-42.
  • 8Kotoulas D, Koukoulas P, Kalouptsidis N. Subspace Pro- jection based Blind Channel Order Estimation of MIMO Systems [ J ]. IEEE Trans on Signal Processing, 2006, 54 (4) : 1351-1363.
  • 9XU W, Kaveh M. Analysis of the Performance and Sensitiv- ity of Eigende Composition - based Detectors [ J ]. IEEE Trans on Signal Processing, 1995,43 : 1413-1426.
  • 10BernardSklar.数字通信-基础与应用[M].第2版.北京:电子工业出版社,2008.

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舰船电子工程
2010年 第2期

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