Channel estimation with circularly slipping window in MIMO-OFDM systems

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• 作者：Qihong Ge Ph.D. (1)
  Zhi Sun (1)
  Huazhong Yang (1)
  
• 关键词：Circularly slipping window ; Channel estimation ; MIMO ; OFDM (Multiple Input Multiple Output Orthogonal Frequency Division Multiplexing)
• 刊名：Journal of Electronics (China)
• 出版年：2006
• 出版时间：November 2006
• 年：2006
• 卷：23
• 期：6
• 页码：929-932
• 全文大小：237KB
• 参考文献：1. H. Sampath, S. Talware, J. Tellado, / et al. A fourth-generation MIMO-OFDM broadband wireless system: design, performance, and field trial results. / IEEE Communications Magazine, 40(2002)9, 143鈥?49. CrossRef
  2. G. L. Stuber, J. R. Barry, / et al. Broadband MIMO-OFDM wireless communications. / Proceedings of the IEEE, 92(2004)2, 271鈥?94. CrossRef
  3. A. Zelst, T. C. W. Schenk. Implementation of a MIMO OFDM-based wireless LAN system. / IEEE Trans. on Signal Processing, 52(2004)2, 483鈥?94. CrossRef
  4. Y. G. Li, J. H. Winters, N. R. Sollenberger. MIMO-OFDM for wireless communications: signal detection with enhanced channel estimation. / IEEE Trans. on Commun., 50(2002)9, 1471鈥?477. CrossRef
  5. Y. Li, N. Seshadre, S. Ariyavisitakul. Channel estimation for OFDM systems with transmitter diversity in mobile wireless channels. / IEEE Journal on Selected Areas in Communications, 17(1999)3, 461鈥?71. CrossRef
  6. S. Suthaharan, A. Nallanathan, B. Kannan. A computationally efficient channel estimation with signal detection for MIMO-OFDM systems. Proceedings of IEEE PIMRC鈥?003, Singapore, National University of Singapore, 2003, vol.2, 1245鈥?249.
  7. L. Ye. Simplified channel estimation for OFDM systems with multiple transmit antennas. / IEEE Trans. on Wireless Commun., 1(2002)1, 67鈥?5. CrossRef
  
• 作者单位：Qihong Ge Ph.D. (1)
  Zhi Sun (1)
  Huazhong Yang (1)
  
  1. Dept of Electronic Engineering, Tsinghua Univ., Beijing, 100084, China
  
• ISSN：1993-0615

文摘

Channel estimation is very important for MIMO (Multiple Input Multiple Output) OFDM (Orthogonal Frequency Division Multiplexing) systems, but its precision is reduced due to the noise in channel. In this letter, circularly slipping window is introduced to resist the noise. It can be proved by simulation that with the same channel model, optimal slipping window length is the same with different vehicle speed. MSE (Minimum Square Error) of channel is greatly reduced with circularly slipping window, and performance of the system is closed to that with correct channel estimation.