期刊文献+

MIMO OFDM系统的信道预测算法

Mimo Ofdm System Channel Forecast Algorithm
下载PDF
导出
摘要 在一般的信道预测方案中,对于信道脉冲响应的预测问题,有些是没有考虑到信道传输函数的相关性,一些预测方案则是实现复杂度较高。针对这些问题,首先实现时域的信道预测方法,再用根据信道传输函数的自相关函数设计出来的滤波器对预测后信道的频率响应进行滤波,可使预测后的信道频域相关性与观测的信道频域相关性一致。这样,时间上的相关性可确保信道预测的可行性,而频域相关性保证了预测前后的空间相关性不变,从而时频联合信道预测方案与其他方案相比具有更可靠的信道预测效果。 In common channel forecast plan, regarding channel pulse response forecast question, some did not considered the channel transmission function relevance, the realization of some forecast plans are complex. In view of these questions, first we realize the time domain channel forecast method, again use the filter designed according to the channel transfer function of the auto-correlation function to filter the frequency response of channel forecasted, to make the channel forecasted frequency range relevance to be consistent with the channel observed frequency range relevance. Thus, the time domain relevance can guarantee the feasibility of the channel forecast, and the frequency domain relevance can guarantee the spatial relevance invariable around forecast, the plan of the channel forecast both in time domain and frequency domain has more reliable channel forecast effect, compared with other channel forecast plans.
出处 《河南科技学院学报》 2007年第1期48-51,共4页 Journal of Henan Institute of Science and Technology(Natural Science Edition)
关键词 信道预测 时频相关性 时频联合信道预测 channel forecast correlation in frequency domain and frequency domain time domain and frequency domain channel forecast
  • 相关文献

参考文献3

二级参考文献8

  • 1Lu.B,Guosen.Yue,X iaodong."Per-formance analysis and design optim ization ofLD-PC-coded M IMO OFDM systems,"[].IEEE Transactions on Electromagnetic Compatibility.2004
  • 2T.K.Moon,W.C.Stirling."Mathemati-calMethods and A lgorithms for Signal Process-ing,"[]..2000
  • 3A.Dejonghe,L.Vandendorpe.Turbo-equalization for multilevel modulation: An efficient low-complexity scheme[].Proc Int Conf on Commun.2002
  • 4I. Barhumi,G. Leus,and M. Moonen."Optimal training sequences for channel estimation in OFDM systems with transmitter diversity in mobile wireless channels[]." Proceedings of International Zurich Seminar.2002
  • 5Chu D C.Polyphase codes with good periodic correlation properties[].IEEE Transactions Information Theory.1972
  • 6MacKay,D. J. C.Good error-correcting codes based on very sparse matrices[].IEEE Transactions on Information Theory.1999
  • 7(J.P.) Woodward,(L.) Hanzo.Comparative study of turbo decoding techniques: An overview[].IEEE Transactions on Vehicular Technology.2000
  • 8韩冰,王建明,高西奇,尤肖虎.OFDM系统的迭代联合信道估计与符号检测算法[J].通信学报,2003,24(8):58-64. 被引量:8

共引文献2

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