13 research outputs found
Error-correction coding for high-density magnetic recording channels.
Finally, a promising algorithm which combines RS decoding algorithm with LDPC decoding algorithm together is investigated, and a reduced-complexity modification has been proposed, which not only improves the decoding performance largely, but also guarantees a good performance in high signal-to-noise ratio (SNR), in which area an error floor is experienced by LDPC codes.The soft-decision RS decoding algorithms and their performance on magnetic recording channels have been researched, and the algorithm implementation and hardware architecture issues have been discussed. Several novel variations of KV algorithm such as soft Chase algorithm, re-encoded Chase algorithm and forward recursive algorithm have been proposed. And the performance of nested codes using RS and LDPC codes as component codes have been investigated for bursty noise magnetic recording channels.Future high density magnetic recoding channels (MRCs) are subject to more noise contamination and intersymbol interference, which make the error-correction codes (ECCs) become more important. Recent research of replacement of current Reed-Solomon (RS)-coded ECC systems with low-density parity-check (LDPC)-coded ECC systems obtains a lot of research attention due to the large decoding gain for LDPC-coded systems with random noise. In this dissertation, systems aim to maintain the RS-coded system using recent proposed soft-decision RS decoding techniques are investigated and the improved performance is presented
ON REDUCING THE DECODING COMPLEXITY OF SHINGLED MAGNETIC RECORDING SYSTEM
Shingled Magnetic Recording (SMR) has been recognised as one of the alternative technologies
to achieve an areal density beyond the limit of the perpendicular recording technique,
1 Tb/in2, which has an advantage of extending the use of the conventional method
media and read/write head.
This work presents SMR system subject to both Inter Symbol Interference (ISI) and Inter
Track Interference (ITI) and investigates different equalisation/detection techniques in order
to reduce the complexity of this system.
To investigate the ITI in shingled systems, one-track one-head system model has been extended
into two-track one-head system model to have two interfering tracks. Consequently,
six novel decoding techniques have been applied to the new system in order to find the Maximum
Likelihood (ML) sequence. The decoding complexity of the six techniques has been
investigated and then measured. The results show that the complexity is reduced by more
than three times with 0.5 dB loss in performance.
To measure this complexity practically, perpendicular recording system has been implemented
in hardware. Hardware architectures are designed for that system with successful
Quartus II fitter which are: Perpendicular Magnetic Recording (PMR) channel, digital
filter equaliser with and without Additive White Gaussian Noise (AWGN) and ideal
channel architectures. Two different hardware designs are implemented for Viterbi Algorithm
(VA), however, Quartus II fitter for both of them was unsuccessful. It is found that,
Simulink/Digital Signal Processing (DSP) Builder based designs are not efficient for complex
algorithms and the eligible solution for such designs is writing Hardware Description
Language (HDL) codes for those algorithms.The Iraqi Governmen
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