PRML detection using the patterns of run-length limited codes 


Vol. 30,  No. 3, pp. 77-82, Mar.  2005


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  Abstract

Partial response maximum likelihood (PRML) detection using the Viterbi algorithm involves the calculation of likelihood metrics that determine the most likely sequence of decoded data. In general, it is assumed that branches at each node in the trellis diagram have same probabilities. If modulation code with minimum and maximum run-length constraints is used, the occurrence ratio (RO) of each particular pattern is different, and therefore the assumption is not true. We present a calculation scheme of the likelihood metrics for the PRML detection using the occurrence ratio. In simulation, we have tested the two (1,7) run-length-limited codes and calculated the occurrence ratios as the orders of PR targets are changed. We can identify that the PRML detections using the occurrence ratio provide more than about 0.5dB gain compared to conventional PRML detections at 10-5 BER in high-density magnetic recording and optical recording channels.

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  Cite this article

[IEEE Style]

J. h. Lee and J. j. Lee, "PRML detection using the patterns of run-length limited codes," The Journal of Korean Institute of Communications and Information Sciences, vol. 30, no. 3, pp. 77-82, 2005. DOI: .

[ACM Style]

Joo hyun Lee and Jae jin Lee. 2005. PRML detection using the patterns of run-length limited codes. The Journal of Korean Institute of Communications and Information Sciences, 30, 3, (2005), 77-82. DOI: .

[KICS Style]

Joo hyun Lee and Jae jin Lee, "PRML detection using the patterns of run-length limited codes," The Journal of Korean Institute of Communications and Information Sciences, vol. 30, no. 3, pp. 77-82, 3. 2005.

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pISSN : 1226 - 4717
eISSN : 2287 - 3880