DocumentCode
228666
Title
Transmit beamforming using singular value decomposition
Author
Kirthiga, S. ; Govindankutty, Anjali ; Krishnan, Shilpa ; Nair, Sachin P.
Author_Institution
Dept. of Electron. & Commun., Amrita Vishwa Vidyapeetham, Ettimadai, India
fYear
2014
fDate
13-14 Feb. 2014
Firstpage
1
Lastpage
4
Abstract
In this paper, a beamforming scheme has been proposed for a multiple input multiple output channel which forms a closed loop system. This wireless channel incorporates binary phase shift keying modulation technique. The fact that the channel state information is known to the transmitter and receiver has been utilized in generating the channel matrix. Singular value decomposition has been performed over the channel matrix to obtain the eigen values and eigen vectors. Transmit beamforming makes use of precoded symbols and transmits them over independent Rayleigh fading channels. The precoded symbols are obtained by multiplying the input with the unitary matrix. At the receiver, symbols are combined using maximal ratio combiner and reshaped to extract the original signal by multiplying the received signal with conjugate transpose of unitary matrix. Comparison has been done on bit error rate without beamforming and that with beamforming. Simulation results prove that bit error rate performance with beamforming for a MIMO system outperforms a MISO system.
Keywords
MIMO communication; Rayleigh channels; array signal processing; closed loop systems; diversity reception; eigenvalues and eigenfunctions; error statistics; modulation coding; phase shift keying; radio receivers; radio transmitters; singular value decomposition; wireless channels; MIMO system; MISO system; beamforming scheme; binary phase shift keying modulation technique; bit error rate performance; channel matrix; channel state information; closed loop system; conjugate transpose; eigenvalues; eigenvectors; independent Rayleigh fading channels; maximal ratio combiner; multiple input multiple output channel; precoded symbols; singular value decomposition; transmit beamforming; unitary matrix; wireless channel; Antennas; Education; MIMO; Matrix decomposition; Vectors; MIMO; beamforming; singular value decomposition;
fLanguage
English
Publisher
ieee
Conference_Titel
Electronics and Communication Systems (ICECS), 2014 International Conference on
Conference_Location
Coimbatore
Print_ISBN
978-1-4799-2321-2
Type
conf
DOI
10.1109/ECS.2014.6892726
Filename
6892726
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