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2012 (Vol. 4, Issue: 10)
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 

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
Vol. 4 , (10): 1250-1259
Submitted Accepted Published
November 25, 2011 December 27, 2011 May 15, 2012
Abstract:

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.
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  Cite this Reference:
Wang-Xing Zhao, Zhang-Xin Chen and Qun Wan, 2012. New Restructure of Transmitted Sequences for CP-based LS Channel Estimation Method in OFDM System.  Research Journal of Applied Sciences, Engineering and Technology, 4(10): 1250-1259.
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ISSN (Online):  2040-7467
ISSN (Print):   2040-7459
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