Implementation of Noise Predictive Maximum Likelihood Detector in High Density Perpendicular Magnetic Recording 


Vol. 28,  No. 3, pp. 336-342, Mar.  2003


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  Abstract

Noise predictive maximum likelihood(NPML) detector embeds noise prediction/whitening process in branch metric calculation of Viterbi detector and improves the reliability of branch metric computation. Therefore, PRML detector with a noise predictor achieves some performance improvement and has an advantage of low complexity.
This thesis random sequences are applied to linear channel. In perpedicular magnetic recording density Kp=2.5, NP(121)ML and NP(1221)ML detection system which is based on a noise predictive PR-equalized signal are evaluated by the performance through a computing simulation. Therefore, NPML systems are implemented and are verified by VHDL.

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  Cite this article

[IEEE Style]

S. Kim and J. Lee, "Implementation of Noise Predictive Maximum Likelihood Detector in High Density Perpendicular Magnetic Recording," The Journal of Korean Institute of Communications and Information Sciences, vol. 28, no. 3, pp. 336-342, 2003. DOI: .

[ACM Style]

Seong-Hwan Kim and Jae-Jin Lee. 2003. Implementation of Noise Predictive Maximum Likelihood Detector in High Density Perpendicular Magnetic Recording. The Journal of Korean Institute of Communications and Information Sciences, 28, 3, (2003), 336-342. DOI: .

[KICS Style]

Seong-Hwan Kim and Jae-Jin Lee, "Implementation of Noise Predictive Maximum Likelihood Detector in High Density Perpendicular Magnetic Recording," The Journal of Korean Institute of Communications and Information Sciences, vol. 28, no. 3, pp. 336-342, 3. 2003.

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pISSN : 1226 - 4717
eISSN : 2287 - 3880