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Iterative decoding for partial response (PR), equalized, magneto-optical (MO) data storage channels
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DOI：10.1109/49.920185.png)
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Turbo codes and low-density parity check (LDPC) codes with iterative decoding have received significant research attention because of their remarkable near-capacity performance for additive white Gaussian noise (AWGN) channels, Recently, turbo code and LDPC code variants are being investigated as potential candidates for high-density magnetic recording channels suffering from low signal-to-noise ratios (SNR), In this paper, we address the application of turbo codes and LDPC codes to magneto-optical (MO) recording channels, Our results focus on a variety of practical MO storage channel aspects, including storage density, partial response targets, the type of precoder used, and mark edge jitter. Instead of focusing just on bit error rates (BER), we also study the block error statistics. Our results for MO storage channels indicate that turbo codes of rate 16/17 can achieve coding gains of 3-5 dB over partial response maximum likelihood (PRML) methods for a 10(-4) target BER. Simulations also show that the performance of LDPC codes for MO channels is comparable to that of turbo codes, while requiring less computational complexity. Both LDPC codes and turbo codes with iterative decoding are seen to be robust to mark edge jitter.
Keyword:
iterative decoding
low-density parity-check (LDPC) codes
magneto-optical (MO) recording
partial response maximum likelihood (PRML)
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