DocumentCode
583098
Title
A Simplified Channel Estimation Method Based on Optimal Pilots Design for MIMO-OFDM Systems
Author
Hailang He ; Ying Zeng
Author_Institution
Inst. of Inf. & Laser, Shaoyang Univ., Shaoyang, China
fYear
2012
fDate
27-29 Oct. 2012
Firstpage
623
Lastpage
626
Abstract
The channel estimation techniques based on comb-type pilot arrangement, which is used in multiple input multiple output-orthogonal frequency division multiplexing (MIMO-OFDM) system, is investigated in this paper. In view of the contradiction of the time-domain least squares (LS) channel estimation bit error rate (BER) performance and the practical realization complexity, a novel optimal pilots design method for multiple input multiple output-orthogonal frequency division multiplexing (MIMO-OFDM) is proposed. By using this approach no large matrix pseudo-inverse is required, which greatly reduces the complexity of algorithms. Simulation results show that the proposed method provides better BER performance and lower complexity. And it is easy to implement in practical systems.
Keywords
MIMO communication; OFDM modulation; channel estimation; communication complexity; error statistics; least squares approximations; matrix inversion; LS BER performance; MIMO-OFDM systems; algorithm complexity; channel estimation method; channel estimation techniques; comb-type pilot arrangement; matrix pseudo-inverse; multiple input multiple output-orthogonal frequency division multiplexing system; optimal pilots design method; realization complexity; time-domain least squares channel estimation bit error rate performance; Bit error rate; Channel estimation; Complexity theory; Partial transmit sequences; Time domain analysis; Transmitting antennas; Multiple input multiple output-orthogonal frequency division multiplexing; channel estimation; least squares; optimal pilot sequences;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer and Information Technology (CIT), 2012 IEEE 12th International Conference on
Conference_Location
Chengdu
Print_ISBN
978-1-4673-4873-7
Type
conf
DOI
10.1109/CIT.2012.132
Filename
6391969
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