DocumentCode
473039
Title
Semi-blind channel estimation based on receiver diversity
Author
Kora, Ahmed D. ; Cances, Jean Pierre ; Meghdadi, Vahid
Author_Institution
Ecole Super. Multinationale des Telecommun., Dakar
Volume
1
fYear
2008
fDate
17-20 Feb. 2008
Firstpage
437
Lastpage
441
Abstract
This paper introduces a semi-blind channel estimation algorithm based on receiver diversity for Multiple Input Multiple Output (MIMO) systems using Orthogonal Frequency Division Multiplexing (OFDM) modulation. To enable the receiver to separate deterministically the preamble streams from each transmit antenna, a given set of subcarriers is attributed to each transmit antenna in the data block which is used as preamble. The receiver can extract the desired transmitted signal by using selectors. The problem is then reduced to a Single Input Multiple Output (SIMO) scheme. Our method consists firstly in separating the contributions of the different transmit antennas and secondly in a semi-blind SIMO channel estimation algorithm which uses SVD decomposition of a particular matrix. The scalar ambiguity of the estimated channel is removed by using a reduced number of pilots symbols.
Keywords
MIMO communication; OFDM modulation; channel estimation; diversity reception; radio receivers; transmitting antennas; MIMO systems; OFDM modulation; SIMO; SVD decomposition; multiple input multiple output systems; orthogonal frequency division multiplexing modulation; receiver diversity; scalar ambiguity; selectors; semiblind channel estimation; single input multiple output scheme; transmit antennas; Bandwidth; Channel estimation; Data mining; Frequency domain analysis; MIMO; Matrix decomposition; OFDM modulation; Quadrature amplitude modulation; Receiving antennas; Transmitting antennas;
fLanguage
English
Publisher
ieee
Conference_Titel
Advanced Communication Technology, 2008. ICACT 2008. 10th International Conference on
Conference_Location
Gangwon-Do
ISSN
1738-9445
Print_ISBN
978-89-5519-136-3
Type
conf
DOI
10.1109/ICACT.2008.4493797
Filename
4493797
Link To Document