中国邮电高校学报(英文) ›› 2008, Vol. 15 ›› Issue (4): 1-6.doi: 1005-8885 (2008) 01-0001-05

• Wireless •    下一篇

Efficient channel blind estimator for multiuser system with conjugate cyclostationarity

周克,曹士珂,张力军   

  1. Communication and Information Engineering College, Nanjing University of Posts and Telecommunications, Nanjing 210003, China
  • 收稿日期:2008-05-04 修回日期:2008-07-08 出版日期:2008-12-30
  • 通讯作者: 周克

Efficient channel blind estimator for multiuser system with conjugate cyclostationarity

ZHOU Ke, CAO Shi-ke, ZHANG Li-jun   

  1. Communication and Information Engineering College, Nanjing University of Posts and Telecommunications, Nanjing 210003, China
  • Received:2008-05-04 Revised:2008-07-08 Online:2008-12-30
  • Contact: ZHOU Ke

摘要:

The problem of blind channel identification in a multiuser system is considered in this article. For this purpose, a blind identification algorithm is proposed based on the conjugate cyclostationarity of the received signal. The new approach contains a two-stage identification procedure. First, the separation technique in the cyclic domain is used to separate the second-order cyclic statistics for each user. Second, a subspace algorithm based on the rational subspace theory is exploited to estimate the desired channel. Theoretical analysis and simulation results show that this algorithm is suitable for a multiuser system. Compared with other methods, the algorithm shows good performance even in a bad situation when the number of users is large and the diversity condition is unavailable.

关键词:

conjugate;cyclostationarity,;rational;subspace;theory,;subspace;algorithm

Abstract:

The problem of blind channel identification in a multiuser system is considered in this article. For this purpose, a blind identification algorithm is proposed based on the conjugate cyclostationarity of the received signal. The new approach contains a two-stage identification procedure. First, the separation technique in the cyclic domain is used to separate the second-order cyclic statistics for each user. Second, a subspace algorithm based on the rational subspace theory is exploited to estimate the desired channel. Theoretical analysis and simulation results show that this algorithm is suitable for a multiuser system. Compared with other methods, the algorithm shows good performance even in a bad situation when the number of users is large and the diversity condition is unavailable.

Key words:

conjugate cyclostationarity;rational subspace theory;subspace algorithm

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