The Data Reuse LMS Channel Estimation Algorithm in Turbo Equalization

The channel estimation is a vital part of turbo equalization. The structure of combined channel estimation and turbo equalization iterative update is presented in this paper. The low computation complexity algorithm called soft decision feedback LMS algorithm is used in channel estimation and the da...

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Vydáno v:2009 5th International Conference on Wireless Communications, Networking and Mobile Computing s. 1 - 4
Hlavní autoři: Hua Xu, Gaofei Sun, Ming Li
Médium: Konferenční příspěvek
Jazyk:angličtina
Vydáno: IEEE 01.09.2009
Témata:
Channel estimation
Computational complexity
Convergence
Data engineering
Decision feedback equalizers
Fading
Iterative algorithms
Iterative decoding
Iterative methods
Least squares approximation
ISBN:9781424436927, 1424436923, 1424436915, 9781424436910
ISSN:2161-9646
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Abstract The channel estimation is a vital part of turbo equalization. The structure of combined channel estimation and turbo equalization iterative update is presented in this paper. The low computation complexity algorithm called soft decision feedback LMS algorithm is used in channel estimation and the data-reused method is used in the initial channel estimation to overcome the problem of low convergence rate for LMS algorithm. The result of simulation shows that the turbo equalizer with this channel estimation method not only has good performance but also has ability to tracking the fast varying channel.
AbstractList The channel estimation is a vital part of turbo equalization. The structure of combined channel estimation and turbo equalization iterative update is presented in this paper. The low computation complexity algorithm called soft decision feedback LMS algorithm is used in channel estimation and the data-reused method is used in the initial channel estimation to overcome the problem of low convergence rate for LMS algorithm. The result of simulation shows that the turbo equalizer with this channel estimation method not only has good performance but also has ability to tracking the fast varying channel.
Author Ming Li
Gaofei Sun
Hua Xu
Author_xml – sequence: 1
  surname: Hua Xu
  fullname: Hua Xu
  organization: Telecommun. Eng. Inst., Air Force Eng. Univ., Xi'an, China
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  surname: Gaofei Sun
  fullname: Gaofei Sun
  organization: Telecommun. Eng. Inst., Air Force Eng. Univ., Xi'an, China
– sequence: 3
  surname: Ming Li
  fullname: Ming Li
  organization: Key Lab. of Southwest Inst. of Electron & Telecom Technol., Chengdu, China
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Snippet The channel estimation is a vital part of turbo equalization. The structure of combined channel estimation and turbo equalization iterative update is presented...
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SubjectTerms Channel estimation
Computational complexity
Convergence
Data engineering
Decision feedback equalizers
Fading
Iterative algorithms
Iterative decoding
Iterative methods
Least squares approximation
Title The Data Reuse LMS Channel Estimation Algorithm in Turbo Equalization
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