Telecommunications Science ›› 2016, Vol. 32 ›› Issue (12): 75-79.doi: 10.11959/j.issn.1000-0801.2016324

• research and development • Previous Articles     Next Articles

Low-complexity channel estimation in massive MIMO based on Kaptyn series expansion

Bing WANG1,Zhengquan LI1,2,Feng YAN1,Lianfeng SHEN1   

  1. 1 School of Information Engineering, Southeast University, Nanjing 210096, China
    2 State Key Laboratory of Networking and Switching Technology, Beijing University of Posts and Telecommunications, Beijing 100876, China
  • Online:2016-12-20 Published:2017-04-26
  • Supported by:
    The National Natural Science Foundation of China;The Research Fund of National Mobile Communications Research Laboratory Southeast University;Open Foundation of State Key Laboratory of Networking and Switching Technology(Beijing University of Posts and Telecommunications)

Abstract:

In order to reduce the complexity of the massive MIMO channel estimation, a channel estimation method based on Kapteyn series expansion was proposed. By using Taylor series to expand the inversion, the complexity was greatly reduced. In order to improve the Taylor-MMSE estimation of the convergence rate, Kapteyn series was used to expand covariance matrix. The simulation result shows that the mean square error of Kapteyn-MMSE estimation converges faster than Taylor-MSME. It is insufficient that the complexity of Kapteyn-MMSE slightly higher than the complexity of Taylor-MMSE, but still far less than the complexity of classical MMSE algorithm.

Key words: channel estimation, Taylor series, Kapteyn series, polynomial expansion

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