DocumentCode
1430893
Title
Performance and implementation of adaptive partial response maximum likelihood detection
Author
Han, Ke ; Spencer, Richard R.
Author_Institution
Quantum Corp., Milpitas, CA, USA
Volume
34
Issue
5
fYear
1998
fDate
9/1/1998 12:00:00 AM
Firstpage
3806
Lastpage
3815
Abstract
Motivated by previous comparison work, a configuration for partial response maximum likelihood detection using the Viterbi algorithm (PRML/VA) detectors with adaptive target polynomials is examined. In this configuration, a mean-squared error decision feedback equalization (MSE-DFE) is used to adapt both the forward equalizer and the target channel for the Viterbi detector. The performance of this adaptive PRMLNA is analyzed and compared with other detection techniques. The issue of convergence speed is also studied
Keywords
Viterbi detection; adaptive signal detection; convergence; decision feedback equalisers; maximum likelihood detection; partial response channels; polynomials; MSE-DFE; PRML/VA; Viterbi algorithm; adaptive partial response maximum likelihood detection; convergence; mean squared error decision feedback equalization; target polynomial; Convergence; Decision feedback equalizers; Detectors; Magnetic noise; Magnetic recording; Maximum likelihood detection; Performance analysis; Polynomials; Sampling methods; Viterbi algorithm;
fLanguage
English
Journal_Title
Magnetics, IEEE Transactions on
Publisher
ieee
ISSN
0018-9464
Type
jour
DOI
10.1109/20.718546
Filename
718546
Link To Document