• DocumentCode
    704663
  • Title

    RS-LDPC product code for high SNR applications

  • Author

    Shah, Dhaval ; Padia, Yesha ; Jadawala, Himanshi

  • Author_Institution
    Electron. & Commun. Dept., Nirma Univ., Ahmedabad, India
  • fYear
    2015
  • fDate
    19-20 Feb. 2015
  • Firstpage
    280
  • Lastpage
    284
  • Abstract
    Product code is a promising technique for low as well as high SNR applications due to its superior error correction performance. Indoor video broadcasting is an application where distance between transmitter and receiver is less, hence the received SNR is high. For such an application and similar applications tolerant to high BER, in this paper, we propose a Low Density Parity Check-Reed Solomon (LDPC-RS) product code structure using Bit Flipping algorithm for decoding of LDPC code. For LDPC decoding, bit flipping is preferred over log SPA (Sum Product Algorithm) as it offers lesser hardware and computational complexity. Simulation results for our product code show great error performance in high SNR regions.
  • Keywords
    Reed-Solomon codes; computational complexity; decoding; digital video broadcasting; parity check codes; product codes; radio receivers; radio transmitters; LDPC decoding; RS-LDPC product code; bit flipping algorithm; error correction performance; high BER; high SNR applications; indoor video broadcasting receiver; indoor video broadcasting transmitter; lesser computational complexity; lesser hardware complexity; log SPA decoding; log sum product algorithm; low density parity check-Reed Solomon product code; Complexity theory; Decoding; Encoding; Parity check codes; Product codes; Signal processing algorithms; Signal to noise ratio; LDPC; RS; bit flipping algorithm; hard decision decoding; log-SPA decoding; product codes; soft decision decoding;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Signal Processing and Integrated Networks (SPIN), 2015 2nd International Conference on
  • Conference_Location
    Noida
  • Print_ISBN
    978-1-4799-5990-7
  • Type

    conf

  • DOI
    10.1109/SPIN.2015.7095330
  • Filename
    7095330