期刊文献+

基于OBE算法的超宽带信道估计方法

Studying on Channel Estimation for UWB Systems Based on OBE
下载PDF
导出
摘要 针对采用码片率采样的直接序列扩频BPSK超宽带系统离散信道,利用集合论的知识,对UWB信道估计问题进行建模,提出一种基于OBE算法的超宽带信道估计算法。并分析了采用不同的扩频码对估计出的信道均方误差的影响。仿真表明,即使在信道的长度未知的情况下,在给定的维数空间中,仍然能很好的估计出信道抽头值。 Aim at the chip-rate discrete channel of the DS-BPSK Ultra Wide-Band communications, the set theory was used to model the question of channel estimation for UWB system, a algorithm which based on OBE was proposed. Furthermore, analyzed the effect which used different spreading sequences of the MSE Simulation results demonstrated that the channel taps could be well estimated in the space of determinate dimensions even if the number of the taps were unknown.
机构地区 重庆通信学院
出处 《信息通信》 2008年第6期17-19,共3页 Information & Communications
基金 国家自然科学基金资助项目(No.60672157)
关键词 OBE 超宽带 信道估计 OBE, UWB, channel estimation
  • 相关文献

参考文献6

  • 1[1]Hiroyo Ogawa,Honggang Zhang,Keniehi Takizawa,"IEEE P802.15 Wireless Personal Area Networks,DS-UWB Physical Layer Submission to 802.15 Task Group 3a,"IEEE P802.15-04/0137r3,July,2004
  • 2[2]E.Saberinia and A.H.Tewfik,"Multi-user UWB-OFDM communications."Proe.2003 IEEE Pacific Rim Conf.on Communications,Computers and Signal Processing,vol.1,PP.127-130,Aug.2003.
  • 3[4]IEEE P802.15,"Channel Modeling sub-committe report final,IEEE P802.15-02/368r5一SG3a,"Dee.2002.
  • 4[5]A.EMolisch,J.R,Focrstgr,and M.pendlergrass,"Channel Models for Ultra wide band Personal Area Networks,"IEEE Wireless Commun.Mag,PP.14-21,Dec.2003.
  • 5[6]Sridhar Gollamudi,Samir Kapoor,Shirish Nagaraj,and Yih-Fang Huang,"Set-Membership Adaptive Equalization and an Updator-Shared Implementation for Multiple Channel Communications Systems",IEEE TRANSACTIONS ON SIGNAL PROCESSING,VOL.46,NO.9.SEPTEMBER 1998
  • 6[7]S.GoHamudi,S.Nagaraj,S.Kapoor,and Y.E.Huang,"Set-membership state estimation with optimal bounding ellipsoids,"in Proc.Int.Symp.Inform.Theory Applicate.,Victoria,B.C.,Canada,Sept.17-20,1996,PP.262-265.

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