Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
1802396 | Journal of Magnetism and Magnetic Materials | 2008 | 4 Pages |
Abstract
Algebraic soft-decision Reed-Solomon (RS) decoding algorithms with improved error-correcting capability and comparable complexity to standard algebraic hard-decision algorithms could be very attractive for possible implementation in the next generation of read channels. In this work, we investigate the performance of a low-complexity Chase (LCC)-type soft-decision RS decoding algorithm, recently proposed by Bellorado and KavÄiÄ, on perpendicular magnetic recording channels for sector-long RS codes of practical interest. Previous results for additive white Gaussian noise channels have shown that for a moderately long high-rate code, the LCC algorithm can achieve a coding gain comparable to the Koetter-Vardy algorithm with much lower complexity. We present a set of numerical results that show that this algorithm provides small coding gains, on the order of a fraction of a dB, with similar complexity to the hard-decision algorithms currently used, and that larger coding gains can be obtained if we use more test patterns, which significantly increases its computational complexity.
Keywords
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Physical Sciences and Engineering
Physics and Astronomy
Condensed Matter Physics
Authors
H. Wang, W. Chang, J.R. Cruz,