DocumentCode
660487
Title
Subspace Decomposition for Channel Estimation in SC-FDE Systems
Author
D´Amours, Claude ; Champagne, Benoit ; Dahmane, Adel Omar
Author_Institution
Sch. of Electr. Eng. & Comput. Sci., Univ. of Ottawa, Ottawa, ON, Canada
fYear
2013
fDate
2-5 June 2013
Firstpage
1
Lastpage
5
Abstract
Single carrier frequency division multiple access (SC-FDMA), a multiple user access scheme based on the single carrier frequency domain equalization (SC-FDE) technique, has been proposed for the uplink in fourth generation (4G) mobile communications. SC- FDE requires reliable channel estimates to maintain an acceptable bit error rate (BER) performance. Much research focuses on the use of pilot symbols which reduces the spectral efficiency of SC-FDE systems. In this paper, we propose a subspace decomposition approach for semi-blind channel estimation in SC-FDE systems as a means to reduce or eliminate the need for pilot symbols and increase their overall spectral efficiency. Simulation results show that, under the conditions presented in this paper, a BER of 10-3 can be achieved with a power loss of roughly 1 dB compared to a system with perfect channel estimates. This result is achieved with channel estimates that have a normalized mean square error (NMSE) less than 1%.
Keywords
4G mobile communication; channel estimation; error statistics; frequency division multiple access; mean square error methods; 4G mobile communications; BER performance; NMSE; SC-FDE systems; SC-FDMA; bit error rate performance; fourth generation mobile communications; normalized mean square error; pilot symbols; semi-blind channel estimation; single carrier frequency division multiple access; single carrier frequency domain equalization technique; spectral efficiency; subspace decomposition approach; Bit error rate; Channel estimation; Correlation; Frequency-domain analysis; Noise; OFDM; Vectors;
fLanguage
English
Publisher
ieee
Conference_Titel
Vehicular Technology Conference (VTC Spring), 2013 IEEE 77th
Conference_Location
Dresden
ISSN
1550-2252
Type
conf
DOI
10.1109/VTCSpring.2013.6692771
Filename
6692771
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