An Improved SVD-LMMSE Channel Estimation Algorithm of LTE System

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Abstract:

This paper first introduces the MIMO-OFDM (Multiple Input Multiple Output-Orthogonal Frequency Division Multiplexing) system model, and then studies several classical channel estimation algorithms: LS (Least Square) algorithm, LMMSE (Liner Minimum Mean-Square Error) algorithms and SVD-LMMSE (Singular value decomposition) algorithm. Finally, based on the DCT transform domain channel estimation, the original SVD-LMMSE algorithm has been improved. Theoretical analysis and simulation results show that: The improved SVD-LMMSE algorithm not only can reduce the complexity of the implementation, but also has more superior performance.

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Periodical:

Advanced Materials Research (Volumes 756-759)

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862-866

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Online since:

September 2013

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© 2013 Trans Tech Publications Ltd. All Rights Reserved

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[1] M. K. Ozdemir and H. Arslan. Channel estimation for wireless OFDM systems., Commun. Surveys Tuts[J]. 2007. 7. vol. 9. no. 2. 18-48.

DOI: 10.1109/comst.2007.382406

Google Scholar

[2] Zeng Zhaohua, LTE basic principles and key Technology [M], Xi'an University Press of Electronic Science and Technology, May (2010).

Google Scholar

[3] 3GPP TS 36. 211 V9. 1. 0(2010-3), Evolved Universal Terrestrial Radio Access (E-UTRA)Physical Channels and Modulation, 14-16.

Google Scholar

[4] L Dong, G Feng, L Guosong etal. Enhanced DFT interpolation-based channel estimation for method for OFDM system with vitual subcarriers[C]. Vehi Tech Conf. VTC IEEE 63rd. IEEE, 2006, 1580-1584.

DOI: 10.1109/vetecs.2006.1683112

Google Scholar

[5] Wu Yun, Luo Hanwen. Channel estimation for MIMO-OFDM system in non-sample-spaced multipath channels [C] . Image and Signal Processing CISP'08Conference . IEEE, 2008, 88-92.

DOI: 10.1109/cisp.2008.92

Google Scholar

[6] Docef A, Kossentini F etc. The quantized DCT and its application to DCT-based video coding[J] , IEEE, 2002, 11(3) 177-187.

DOI: 10.1109/83.988952

Google Scholar