Abstract
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Article Information:
New Restructure of Transmitted Sequences for CP-based LS Channel Estimation Method in OFDM System
Wang-Xing Zhao, Zhang-Xin Chen and Qun Wan
Corresponding Author: Wang-Xing Zhao
Submitted: November 25, 2011
Accepted: December 27, 2011
Published: May 15, 2012 |
Abstract:
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This study proceeded to investigate a study and a signal processing on channel estimation problem
of OFDM system in wireless communication area. We gave an optimization stretching into total transmitted
sequences restructure which aimed to improve Cyclic-prefix Least Square (CPLS) channel estimation method
proposed in this paper. By contrast to conventional Training Sequences (TS) methods especially frequency TS,
like sub-carriers TS, which directly occupy sub-carrier data sequences, CPLS method can greater the usage of
cyclic-prefix thus saves system resources. In detail, we first gave a deduction and Mean Square Error (MSE)
compare of both CPLS and Equally Spaced Training Sequences (ESTS) method based on LS principle. Then
according to the deduction, we mainly concerned the restructure of total transmitted sequences using
optimization tools, the Lagrange resolving, before which an constrain model was established, effects of our
restructure were that it largely lower down the channel estimation MSE by using CPLS, while system BER was
also improved. In the last part simulations given showed the correctness of our restructure theory.
Key words: Channel estimation, constrain model, Cyclic-prefix Least Square (Cpls) method, Equally Spaced Training Sequences (ESTS) method, Lagrange Resolving, Orthogonal Frequency Division Multiplexing (OFDM), transmitted sequences restructure
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Abstract
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Cite this Reference:
Wang-Xing Zhao, Zhang-Xin Chen and Qun Wan, . New Restructure of Transmitted Sequences for CP-based LS Channel Estimation Method in OFDM System. Research Journal of Applied Sciences, Engineering and Technology, (10): 1250-1259.
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![](http://www.maxwellsci.com/images/RJASET-maxw.jpg) |
ISSN (Online): 2040-7467
ISSN (Print): 2040-7459 |
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