Title :
Distance enhancing constraints for noise predictive maximum likelihood detectors
Author :
Moision, B.E. ; SIEGEL, Peter H.
Author_Institution :
Dept. of Electr. & Comput. Eng., California Univ., San Diego, La Jolla, CA
Abstract :
Using performance analysis of reduced state sequence estimators (RSSE), we characterize dominant error events for a noise predictive maximum likelihood (NPML) detector in high density magnetic recording systems. The error event characterization may be used to determine distance enhancing constraints that improve the reliability of NPML/RSSE detection. An example of a constraint that provides approximately 0.8 dB asymptotic coding gain for an NPML detector operating at a user bit density of 2.54 is illustrated
Keywords :
Viterbi detection; digital magnetic recording; magnetic recording noise; maximum likelihood detection; maximum likelihood sequence estimation; partial response channels; prediction theory; sequential estimation; 0.8 dB; NPML/RSSE detection; asymptotic coding gain; distance enhancing constraints; dominant error events; error event characterization; high density magnetic recording; noise predictive maximum likelihood detectors; reduced state sequence estimators; Detectors; Event detection; Gain; Magnetic noise; Magnetic recording; Maximum likelihood detection; Maximum likelihood estimation; Noise reduction; Performance analysis; State estimation;
Conference_Titel :
Global Telecommunications Conference, 1998. GLOBECOM 1998. The Bridge to Global Integration. IEEE
Conference_Location :
Sydney,NSW
Print_ISBN :
0-7803-4984-9
DOI :
10.1109/GLOCOM.1998.776484
