期刊文献+

OFDM蜂窝移动通信中一种自适应干扰抑制算法 被引量:3

An adaptive interference suppressing algorithm for OFDM cellular mobile communication system
在线阅读 下载PDF
导出
摘要 针对基于正交频分复用(OFDM)的未来移动通信系统中的蜂窝覆盖所面临的下行小区间干扰问题,提出了一种基于子载波组的自适应干扰抑制算法.该算法根据干扰和信道情况,自适应调整子载波组空间波束方向、自适应选取传输性能较好的子载波组、自适应调整每个子载波组的调制阶数和扩频倍数,在满足数据传输误码率要求的同时,使数据传输速率最大.仿真结果显示:该算法很好地抑制了相邻小区的干扰,并自适应多径衰落信道(IMT2000步行A信道)的变化;当接收点空间信干比在-3 dB以上变化时,该算法在保证误码率要求的同时,使数据传输速率最大. The downlink intercell area covery would be interfered severely in orthogond freguency division multiplexing (OFDM)-mobile communication system. On the basis of subcarrier-cluster, an adaptive downlink intercell interference suppressing algorithm was proposed. In the algorithm, the beamforming of the subcarrier-cluster was adaptively adjusted, well-performed subcarrier-cluster was selected, and the modulation scheme and spread spectrum scheme of the subcarrier-cluster were adjucted according to the interference and the channel change. The simulation result shows that the algorithm can suppress the interference from neighbor cells could be suppressed and the subcarrier-cluster be adaptively adjusted according to the interference and the channel change by this algorithm, to maximize the transmission data rate while to meet the desired bit error ratio.
出处 《华中科技大学学报(自然科学版)》 EI CAS CSCD 北大核心 2007年第3期12-15,共4页 Journal of Huazhong University of Science and Technology(Natural Science Edition)
基金 国家自然科学基金资助项目(60171013)
关键词 正交频分复用 子载波组 干扰抑制 IMT2000信道 orthogond freguency division multiplexing (OFDM) subcarrier-cluster interference avoidance and suppressing IMT2000 channel
  • 相关文献

参考文献10

  • 1高建勤,熊淑华.无线局域网中的MIMO OFDM技术[J].通信与信息技术,2005(2):24-28. 被引量:2
  • 2朱炳成,蔡家麟.数字电视视频广播的关键技术——OFDM及其同步[J].中国有线电视,2005(22):2190-2192. 被引量:4
  • 3张建华,蔡鹏,苏苓,周云,张平.OFDM——4G核心的物理传输技术[J].移动通信,2005,29(2):89-92. 被引量:10
  • 4Sun Y,Matsuoka H.A novel adaptive antenna architecture-subcarrier clustering for high-speed OFDM systems in presence of rich co-channel interference[C]∥55th Vehicular Technology Conference (vol.3).New York:IEEE,2002:1564-1568.
  • 5Liang Xiaowen,Zhu Jinkang.An adaptive subcarrier allocation algorithm for multiuser OFDM system[C]∥58th Vehicular Technology Conference (vol.3).New York:IEEE,2003:1502-1506.
  • 6Li J,Letaief K B,Cao Z.Co-channel interference cancellation for space-time codded OFDM system[J].IEEE Transactions on Wireless Communications,2003,2(1):41-49.
  • 7Suh Changho,Hwang Chan-Soo.Channel estimation technique for mitigating ICI in MIMO-OFDM cellular systems[C]∥Global Telecommunications Conference.New York:IEEE,2004:2679-2683.
  • 8Goldsmith A J,Chua Soon-Ghee.Variable-rate variable-power MQAM for fading channels[J].IEEE Transactions on Wireless Communications,1997,45(10):1218-1230.
  • 9Chung S T,Goldsmith A J.Dgrees of freedom in adaptive modulation:a unified view[J].IEEE Transactions on Wireless Communications,2001,49(9):1561-1571.
  • 10Petrus P.Novel adaptive array algorithms and their impact on cellular system capacity[D].Blacksburg:The Virginia Polytechnic Institute and State University,1997.

二级参考文献11

  • 1李振东,潘申富,史海洋,梁庆林.多天线自适应OFDM系统[J].北京大学学报(自然科学版),2004,40(5):840-843. 被引量:4
  • 2Tufvesson F, Edfors O, Faulkner M. Time and Frequency Synchronization for OFDM Using PNsequence Preambles. Vehicular Technology Conference, VTC 1999-Fall, IEEE VTS 50th.VOL 4 , 1999:2203-2207.
  • 3Negi R, Cioffi J M. Blind OFDM Symbol Synchronization in ISI Channels. Communications,IEEE Transactions on, Issue 9, Vol 50, Sep2002: 1525- 1534.
  • 4R W Heath, G B Giannakis. Exploiting Input Cyclostationarity for Blind Channel Identification in OFDM Systems. IEEE Trans, Signal Processing, Vol 47, Mar 1999:848-856.
  • 5G J Foschini, M J Cans. On Limites of Wireless Communications in a Fading Environment When Using Multiple Antennas. Wireless Pers Communications, Vol 6, 1998:311-335.
  • 6Farpoint Group White Paper,Advanced Wireless Technologies MIMO Comes of Age December 2003.
  • 7GOKDON L.STUBER,JOHN K.BAILRY etc. Broadband MIMO-OFDM Wireless Comraunications , Proceedings of The IEEE, Vol.92, No.2, February. 2004.
  • 8J J Van de Beek, M Sandell. ML Estimation oftime and frequency offset in OFDM Systems [J].IEEE Trans, Signal Processing, 1997,43:1.
  • 9COULSON A J. Maximum likehood synchronization for OFDM using a pilot symbol: Analysis [J].IEEE JSAC, 2001, 19(12) :2495-2503.
  • 10任立刚,宋梅,乔强国,宋俊德,朱松俭,郗松楠.MIMO+OFDM:新一代移动通信核心技术[J].中国数据通信,2003,5(10):102-105. 被引量:20

共引文献13

同被引文献26

  • 1孙丽君,孙超.一种适用于高阶QAM信号的水声信道盲均衡算法[J].西北工业大学学报,2005,23(5):598-601. 被引量:10
  • 2张艳萍,赵俊渭,李金明.稀疏水声信道判决反馈盲均衡算法研究[J].电子与信息学报,2006,28(6):1009-1012. 被引量:13
  • 3鄢社锋,侯朝焕,马晓川.矩阵空域预滤波目标方位估计[J].声学学报,2007,32(2):151-157. 被引量:53
  • 4Robert F B. Reformulating decision theory using fuzzy set theory and Shafer's theory of evidence[J]. Fuzzy Sets and Systems, 2003, 139(2): 243-266.
  • 5Felip R P, Noras J M, David G M. Variable length equalizers for broadband mobile systems [ J ]. Proceedings of IEEE VTC, 2000, 9(5) : 2 478-2 485.
  • 6Dieter S, Gerald M. MMSE and adaptive prediction of time-varying channels for OFDM systems [J]. IEEE Transactions on Wireless Communications, 2005, 4(2): 593-602.
  • 7Chow J S, Cioffi J M, Bingham J A C. Equalizer training algorithms for multicarrier modulation systems[J]. IEEE International Conference on Communications, 1993, 2(2) : 761-765.
  • 8Stojanovic M. Recent advances in high-speed underwater acoustic communications[J]. IEEE Journal of Oceanic Engineering, 1996, 21(2): 125-136.
  • 9惠娟,胡丹,惠俊英,殷敬伟.聚焦波束形成声图测量原理研究[J].声学学报,2007,32(4):356-361. 被引量:51
  • 10van Trees H L. Optimum array processing, detection, estimation and modulation theory (part IV) [M]. New York:Wiley Interscience, 2002.

引证文献3

二级引证文献11

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