期刊文献+

MIMO-OFDM系统信道最大似然估计研究 被引量:2

Maximum likelihood channel estimation method for MIMO-OFDM systems
下载PDF
导出
摘要 在深入分析MIMO OFDM系统信道模型的基础上 ,提出了一种新的导频符号设计方案和采用最大似然比估计算法估计MIMO OFDM信道 ,并分析了该算法的性能 ;计算机仿真结果表明在信道统计特性未知的条件下 ,采用所提出的导频符号设计方案效率高 ,估计性能优于RRE和LE等其他方法。 Based on the analysis of the model of MIMO-OFDM systems, a novel scheme of pilot symbols and the maximum likelihood estimation method are proposed to estimate the MIMO-OFDM channel, and the performance of the scheme is analyzed. The result of computer simulation shows that under the conditions of having no any knowledge of the channel statistics and the SNR, the efficiency of pilot symbols is high and the performance of the proposed scheme is superior to that of other methods, such as RRE and LE.
出处 《电波科学学报》 EI CSCD 2004年第1期53-57,共5页 Chinese Journal of Radio Science
基金 国家自然科学基金资助项目 (No .6 0 172 0 30 )
关键词 MIMO-OFDM系统 信道最大似然估计 信道模型 移动通信 通信质量 Algorithms Computer simulation Mathematical models Maximum likelihood estimation Orthogonal frequency division multiplexing Signal to noise ratio
  • 相关文献

参考文献1

二级参考文献9

  • 1RapppaportTS 蔡涛 李旭 杜振民译.无线通信原理与应用[M].北京:电子工业出版社,1999.240-250.
  • 2TheodoreSRapppaport.Wireless communications principles and practice[M].北京:电子工业出版社,1999.325-336.
  • 3廖桂生等.阵列信号处理[Z].西安:雷达信号处理重点实验室,1997.4~15.
  • 4Liberti J C, Rappapc T S. Smart antennas for wireless communications: IS-95 and third generation CDMA applications[M]. NewYork, Prentice Hall, 1999: 1-25.
  • 5Special Issue on the European Path Towards UMS.[M]. IEEE Pers. Commun. Mag. , 1995, 2(1) : 1-150.
  • 6Naguib A F, Seshadri N, Calderbank R A. Space-time coding and signal-processing for high-data-rate wireless communications[J] . IEEE Signal Processing Mag.2002, 16(3): 77-91.
  • 7Heath R W, Paulraj A. Multiple antenna arrays for transmitter diversity and space-time coding [C]. 1999 IEEE International Conference on Communications,1999 ,1: 36-40.
  • 8李建新.阵列部分单元相位加权波瓣综合[J].电波科学学报,2001,16(4):433-436. 被引量:11
  • 9王超,张林让,廖桂生,吴顺君.多相调制下的空时分组码性能分析[J].西安电子科技大学学报,2002,29(1):82-86. 被引量:6

共引文献8

同被引文献12

  • 1王自力,龚耀寰.MIMO宏小区窄带信道模型的相关性能分析[J].电波科学学报,2005,20(1):37-42. 被引量:14
  • 2Paulraj A J, Gore D A, Nabar R U, Bolcskei H. An Overview of MIMO Communications-A key to gigabit wireless[A]. Proceedings of IEEE [C]. Now Yok:IEEE Inc. 2004, 92(2):198-218.
  • 3Molisch A F, Win M Z. MIMO Systems with antenna selection [J]. IEEE Microwave Magazine. 2004, 5(1) :46-56.
  • 4Sanayei S, Nosratinia A. Antenna selection in MIMO systems [J]. IEEE Communications Magazine. 2004,42(10) :68- 73.
  • 5Zhuo Chen, Jinhong Yuan, Vucetic B. Analysis of transmit antenna selection/ maximal-ratio combining in Rayleigh fading channels [J]. IEEE Transaction on Vehicular Technology, 2005,54 ( 4 ) : 1312- 1321.
  • 6Zhanglan Zhou, Yanjie Dong, Xing Zhang, et al.. A novel antenna selection scheme in MIMO systems[A]. 2004. International Conference on Communications, Circuits and Systems(ICCCAS)[C]. Chengdu:The Institute of Electrical and Electronics Engineers,Inc. ,2004, 190-194.
  • 7Gorokhov A. Antenna selection algorithms for MEA transmission systems [A]. Proceedings of 2002. IEEE International Conference on Acoustics, Speech and Signal Processing(ICASSP'02) [C]. Orlando: The Institute of Electrical and Electronics Engineers, Inc. ,2002,2857-2860.
  • 8Gharari-Alkhansari M, Gershman A B. Fast Antenna Subset Selection in MIMO Systems [J]. IEEE Transactions on Signal Processing. 2004, 52 (2) : 339-347.
  • 9Jensen M A, Wallace J W. Antenna selection for MIMO systems based on information theoretic considerations [A], IEEE Antennas and Propagation Society International Symposium [C]. Columbus:the Institute of Electrial and Electronics Engineers, Inc., 2003,515-518.
  • 10Yang-Seok Choi, Molisch A F, Win M Z, Winters J H. Fast algorithms for antenna selection in MIMO systems [A]. 2003. IEEE 58th Vehicular Technology Conference(VTC) [C]. Orlando: the Institute of Electrial and Electronics Engineers, Inc. ,2003, 1733-1737.

引证文献2

二级引证文献12

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