My Research Data Storage Systems
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Advanced Coding
  • Turbo codes
  • LDPC codes
  • PA/GPA codes
  • TPC codes

  • Coding Theory
  • ML analysis
  • Iterative analysis
  • Channel capacity
  • Decoding algorithms

  • Wireless
  • PA on Rayleigh
  • Thresholds for Rayleigh

  • Optical Fiber
  • PA for OFC
  • ML bounds
  • Channel capacity

  • Data Storage
  • TPC/LDPC on PR
  • TPC on Lorentzian
  • Thresholds for ISI

  • Networks
  • Routing protocols
  • ARQ
  • Client/Server programming


  • Error Control for Data Storage Systems

      TPC & LDPC coding for Partial Response channels:

    Concatenated codes and iterative decoding is being seriously considered for future digital data storage systems. Partial response channels are a popular channel model for data storage systems. Some of the typical channel coefficients include PR4/EPR4/EEPR4/MEEPR4 for magnetic recording and PR1/PR2 for mageneto optical (MO) recording.
    • Although single parity check turbo product codes (TPC/SPC) are inferior comparable to LDPC codes on intersymbol interference (ISI) channels due to the interleaving gain. Further, investigation on the burstiness of errors suggest TPC/SPC may be more compatible with outer Reed Solomon error correction codes (RS-ECC). (paper1, (paper2, paper3).
    • Turbo equlizer for intersymbol interference (ISI) channels. (Here is the MAP decoder (non-binary BCJR written in C) for equalizing ISI channels.)

      Lorentzian Channels:

    We use a more realistic lorentzian channel model to investigate the performance of error correction coding for data storage systems.
    • The BER performance and error statistics of TPC/SPC codes on lorentzian channels is investigated. Several trade-offs are investigated: coding gain vs code rate, code rate vs normalized areal density, normalized areal density vs PR targets (paper).

      Thresholds for InterSymbol Interference Channels:

    We extend density evolution (DE) to compute the thresholds for ISI channels:
    • Thresholds of LDPC, turbo and TPC/SPC codes on partial response (PR) channels using density evolution with Gaussian approximation (GA) (paper).

    » Resume                

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