• 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