Quantization Error's Influence on the Channel Estimation

Lin Jun Wu

doi:10.4028/www.scientific.net/AMR.846-847.898

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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 846-847Quantization Error's Influence on the Channel...

Quantization Error's Influence on the Channel Estimation

Abstract:

To improve the transmission performance of wireless channel, the improvement of the Multiple-Input Multiple-Output Orthogonal Frequency Division Multiplexing (MIMO-OFDM) channel estimation algorithm based on the superimposed training sequence is proposed. We take advantage of training and information sequences unrelated, without loss of bandwidth preliminary estimate the channel parameters; Then using the weighted factor of channel parameters between adjacent signal weighted average, get the final channel parameters. Compared with previous superimposed training sequence estimation method, using the algorithm has a lower estimation mean square error (MSE), and is suitable for the time-varying channel. The computer simulation results show that the estimation method improves the accuracy and performance of channel transmission.

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Periodical:

Advanced Materials Research (Volumes 846-847)

Pages:

898-901

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.846-847.898

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Online since:

November 2013

Authors:

Lin Jun Wu*

Keywords:

Channel Estimation, MIMO-OFDM, Superimposed Training

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* - Corresponding Author

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