期刊文献+

中继信道相位响应模型及其估计算法研究 被引量:1

Model of relay channel phase response and its estimation algorithms
下载PDF
导出
摘要 中继能够提高信息传输质量及覆盖区域,是一种近年来得到迅速发展且前景广阔的无线通信技术。而性能优良的中继信道估计构成了改善通信环境的其他技术的基础前提。针对中继信道估计中的相位响应部分,首先建立了在任意信噪比条件下的相位噪声模型。考虑到估计过程快速的现实要求,通过将模型中原有复杂的表达噪声形式用高斯的方法近似化,得到了较为简洁的结果,并根据不同的简化形式给出对应的若干相位响应估计算法。为了比较这些算法之间的性能,重点推导了估计算法所能达到的CRLB。最后结合计算机数值仿真验证了结论的正确性。 Recently,Relay has become a booming and promising wireless communication technology,which can improve the information transmission quality and enlarge the service coverage area. Meanwhile,effective relay channel estimation makes up a foundation of other technologies for improving communication invironment,such as relay beamforming and relay selection. Focusing on the phase response in relay channel estimation,the model of phase noise in arbitrary SNR was build up. In order to decrease the amount of estimator calculation,the complicated formula of original noise model is approximated by the relatively simple Gaussian counterpart to get relatively succinct result. According on the different simplified form,several phase estimation algorithms are given. The CRLB(Cramer-Rao Lower Bound)is also derived with the purpose of comparing the performance of the algorithms. The conclusion correctness was verified by computer numerical simulation.
作者 黄春文
出处 《现代电子技术》 2014年第4期13-16,20,共5页 Modern Electronics Technique
关键词 中继信道 相位响应 估计算法 相位噪声模型 relay channel phase response estimation algorithm phase noise model
  • 相关文献

参考文献12

  • 1殷勤业,张莹,丁乐,孟银阔.协作分集:一种新的空域分集技术[J].西安交通大学学报,2005,39(6):551-557. 被引量:58
  • 2GAO Fei-fei, CUI Tao, NALLANATHAN A. On channel esti- mation and optimal training design for amplify and forward re- lay networks [J]. IEEE Transactions on Wireless Communica- tions, 2008, 7(5): 1907-1916.
  • 3GAO Fei-fei, ZANG Rui, LIANG Ying-chang. On channel esti- mation for amplify-and-forward two-way relay networks [C]//Pro- ceedings of 2008 IEEE Global Telecommunications Conference. New Orleans, LO: IEEE, 2008: 1-5.
  • 4JIANG Bin, GAO Fei-fei, GAO Xi-qi, et al. Channel estimation for amplify-and-forward two-way relay network with power alloca- tion [C]// Proceedings of 2009 IEEE International Conference on Communications. Dresden, Germany: IEEE, 2009: 1-5.
  • 5ABU HANIF M, LEE Moon Ho, SHIN TaeChol, et al. Pilot-based channel estimation in two-way amplify-and-forward relay networks [C]// Proceedings of 2012 International Conference on Informatics, Electronics & Vision. Dhaka: ICIEV, 2012: 996-999.
  • 6ROEMER F, HAARDT M. Tensor-based channel estimation and iterative refinements for two-way relaying with multiple an- tennas and spatial reuse [J]. IEEE Transactions on Signal Pro- cessing, 2010, 58(11) : 5720-5735.
  • 7PALMER L. Coarse frequency estimation using the discrete Fourier transform [J]. IEEE Transactions on Information Theo- ry, 1974, 20(1): 104-109.
  • 8RIFE D, BOORSTYN R R. Single tone parameter estimation from discrete-time observations [J]. IEEE Transactions on Infor- mation Theory, 1974, 20(5) : 591-598.
  • 9TRETTER S. Estimating the frequency of a noisy sinusoid by linear regression [J]. IEEE Transactions on Information Theo- ry, 1985, 31(6): 832-835.
  • 10FU Hua, KAM Pooi Yuen. Exact phase noise model and its application to linear minimum variance estimation of frequen- cy and phase of a noisy sinusoid [C]// Proceedings of 2008 IEEE 19th International Symposium on Personal, Indoor and Mobile Radio Communications. Cannes: PIMRC, 2008: 1-5.

二级参考文献16

  • 1殷勤业,张莹.无线局域网中的智能天线技术[J].电子学报,2004,32(F12):141-147. 被引量:6
  • 2Hunter T E, Nosratinia A. Cooperation diversity through coding[A]. IEEE International Symposium on Information Theory, Laussane, Switzerland, 2002.
  • 3Stefanov A, Erkip E. Cooperative space-time coding for wireless networks[A]. 2003 IEEE Information Theory workshop, Paris, France, 2003.
  • 4Hunter T E, Nosratinia A. Coded cooperation under slow fading, fast fading, and power control[A]. The Thirty-Sixth Asilomar Conference on Signals,Systems and Computers, Pacific Grove, USA, 2002.
  • 5Janani M, Hedayat A. Coded cooperation in wireless communications: space-time transmission and iterative decoding[J]. IEEE Trans on Signal Processing, 2004, 52(2): 362-371.
  • 6Wei S Q, Goeckel D, Valenti M. Asynchronous cooperative diversity [A]. The 38th Annual Conf on Information Sciences and Systems, Princeton, USA, 2004.
  • 7Li X H. Space-time coded multi-transmission among distributed transmitters without perfect synchronization[J], IEEE Signal Processing Letters, 2004, 11(12), 948-951.
  • 8Barbarossa S,Scutari G.Cooperative diversity through virtual arrays in multihop networks acoustics[A]. IEEE International Conference on Acoustics, Speech, and Signal Processing, Hong Kong, 2003.
  • 9Barbarossa S, Scutari G. Distributed space-time coding for multihop networks[A]. IEEE International Conference on Communications, Paris, France, 2004.
  • 10Sendonaris A, Erkip E, Aazhang B. Increasing uplink capacity via user cooperation diversity[A]. IEEE International Symposium on Information Theory, Cambridge, USA, 1998.

共引文献57

同被引文献2

  • 1Rosenberg J,Mahy R,Matthews P.Traversal using relays around Nat(TURN):relay extensions to session traversal utilities for Nat(STUN):RFC 5766[S].[S.l.]:FRC,2010.
  • 2孙克辉,尧平,洪娟娟,喻炜.基于JRTPLIB库的H.264视频传输系统[J].计算机系统应用,2011,20(12):21-24. 被引量:4

引证文献1

二级引证文献9

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部