DocumentCode
483623
Title
Blind channel estimation for single carrier block transmission systems with frequency domain equalization
Author
Chen, Yi-Sheng
Author_Institution
Dept. of Commun. Eng., Feng Chia Univ., Taichung
fYear
2008
fDate
14-16 Oct. 2008
Firstpage
1
Lastpage
5
Abstract
We propose a blind channel estimation method for single carrier block transmission systems with frequency domain equalization. The method uses periodic precoding on the source signal before transmission. The estimation of the channel impulse response vector consists of two steps: (1) obtain the channel product matrix by solving a group of decoupled linear equations, and (2) obtain the channel impulse response vector by computing the maximal eigenvalue and the associated eigenvector of a Hermitian matrix formed from the channel product matrix. The identifiability condition is very simple. The design of the precoding sequence which minimizes the noise effect and numerical error in covariance matrix estimation is proposed. Simulations are used to demonstrate the performance of the method.
Keywords
Hermitian matrices; blind equalisers; channel coding; channel estimation; covariance matrices; eigenvalues and eigenfunctions; frequency-domain analysis; precoding; transient response; Hermitian matrix; blind channel estimation; channel impulse response estimation; channel product matrix; covariance matrix estimation; eigenvalue-eigenvector; frequency domain equalization; linear equations; periodic precoding scheme; single carrier block transmission system; Bandwidth; Blind equalizers; Computational modeling; Covariance matrix; Eigenvalues and eigenfunctions; Equations; Frequency domain analysis; Frequency estimation; OFDM; Vectors; blind estimation; frequency domain equalization; periodic precoding; single carrier;
fLanguage
English
Publisher
ieee
Conference_Titel
Communications, 2008. APCC 2008. 14th Asia-Pacific Conference on
Conference_Location
Tokyo
Print_ISBN
978-4-88552-232-1
Electronic_ISBN
978-4-88552-231-4
Type
conf
Filename
4773788
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