DocumentCode :
3240795
Title :
Study on channel estimation of Long Term Evolution
Author :
Guo, Wei ; Li, Guojin
Author_Institution :
Coll. of Electron. & Inf. Eng., Liaoning Tech. Univ., Huludao, China
fYear :
2011
fDate :
27-29 May 2011
Firstpage :
367
Lastpage :
369
Abstract :
LTE (Long Term Evolution) based on MIMO-OFDM technology has become the mainstream technology for next-generation wireless communications. Channel estimation is an important part of OFDM receiver, which is the important basis for obtaining channel information, achieving channel equalization and choosing transmission method. In this paper, the LTE channel estimation algorithm based on the pilot location is studied. According to the disadvantage of large computation and complexity about MMSE, a simplified algorithm based on singular value decomposition SVD is used to reduce the operation complexity. Simulation results verified that the performance of improved SVD algorithm is as good as that of MMSE channel estimation algorithm, but the computational complexity is greatly reduced.
Keywords :
Long Term Evolution; MIMO communication; OFDM modulation; channel estimation; computational complexity; equalisers; least mean squares methods; singular value decomposition; LTE channel estimation algorithm; Long Term Evolution; MIMO-OFDM technology; MMSE channel estimation algorithm; OFDM receiver; channel equalization; computational complexity; improved SVD algorithm; next-generation wireless communications; pilot location; singular value decomposition; Phase shift keying; Signal to noise ratio; Channel Estimation; Long Term Evolution; Pilot; algorithm;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Communication Software and Networks (ICCSN), 2011 IEEE 3rd International Conference on
Conference_Location :
Xi´an
Print_ISBN :
978-1-61284-485-5
Type :
conf
DOI :
10.1109/ICCSN.2011.6014742
Filename :
6014742
Link To Document :
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