• DocumentCode
    3574488
  • Title

    Optimization of reconfigurable DAB/DAB+ architecture using maximum likelihood path decoding

  • Author

    Priya, G. Vishnu ; Bharathi, P.

  • Author_Institution
    Velammal Inst. of Technol., Chennai, India
  • fYear
    2014
  • Firstpage
    97
  • Lastpage
    101
  • Abstract
    The broadcasting radio stations in several countries has benefitted by the usage of Digital Audio Broadcasting (DAB) technology, which replaces the usage of AM and FM broadcast services. An improved version of the Digital Audio Broadcasting technology is the DAB+ technology. These comprise of a transmitter and receiver systems for the transmission of the audio signal in the form of digital radio technology. In this paper, to achieve errorless audio signal the maximum likelihood Viterbi decoder in DAB/DAB+ is designed. The analysis has been carried out along with simulation studies under ModelSim Altera 6.4a that resulted in power and area efficient architecture. In order to show the efficiency of reliable DAB/DAB+ systems, the signal to noise ratio has been tabulated and executed with MATLAB Simulink tool.
  • Keywords
    Viterbi decoding; amplitude modulation; digital audio broadcasting; digital radio; frequency modulation; maximum likelihood decoding; radio receivers; radio stations; radio transmitters; AM broadcast service; DAB+ technology; FM broadcast service; ModelSim Altera 6.4a; audio signal transmission; broadcasting radio station; digital audio broadcasting; digital radio technology; maximum likelihood Viterbi decoder; maximum likelihood path decoding; reconfigurable DAB-DAB+ architecture Optimization; signal to noise ratio; Chaos; Decoding; Industries; Measurement; Signal to noise ratio; Broadcasting radio stations; Digital audio broadcasting (DAB); maximum likelihood Viterbi decoder; radio transmitter and receiver systems; signal to noise ratio (SNR);
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Advanced Computing (ICoAC), 2014 Sixth International Conference on
  • Print_ISBN
    978-1-4799-8466-4
  • Type

    conf

  • DOI
    10.1109/ICoAC.2014.7229754
  • Filename
    7229754