DocumentCode
2327381
Title
GEN04-6: Near Minimum-BER all-Adaptive Partial Response Equalization For High Density Recording Systems
Author
Riani, J. ; Immink, A. ; van Beneden, S. ; Bergmans, J.W.M.
Author_Institution
Eindhoven Univ. of Technol., Eindhoven
fYear
2006
fDate
Nov. 27 2006-Dec. 1 2006
Firstpage
1
Lastpage
6
Abstract
In order to reduce the implementation complexity of maximum likelihood sequence detectors (MLSD), equalized maximum likelihood receivers are often used. This consists of employing an equalizer to transform the channel response to a short target response to which the Viterbi detector is matched. Existing equalizer and target adaptation schemes are often based on the minimum mean-square error (MMSE) criterion which is not always optimal in terms of detection bit-error rate at the Viterbi detector output. In this paper we consider minimum bit-error rate joint adaptation of equalizer and target response and present a practical adaptation algorithm that achieves near minimum bit-error rate performance. Our new equalizer and target adaptation scheme shows significant performance improvements in the presence of channel nonlinearities and media noise when compared to MMSE adaptation schemes. This is very promising for high density recording systems that are mainly hampered by media noise and channel nonlinearities. Moreover, from a complexity standpoint, the proposed algorithm is comparable to the MMSE-based algorithms.
Keywords
Viterbi detection; adaptive equalisers; error statistics; least mean squares methods; maximum likelihood detection; maximum likelihood sequence estimation; MLSD; MMSE criterion; Viterbi detector; all-adaptive partial response equalization; channel nonlinearity; channel response; equalized maximum likelihood receiver; high density recording system; maximum likelihood sequence detector; minimum bit error rate joint adaptation; minimum mean-square error; near minimum-BER; Bit error rate; Detectors; Equalizers; Intersymbol interference; Magnetic noise; Maximum likelihood detection; Maximum likelihood estimation; Optical noise; Optical receivers; Viterbi algorithm;
fLanguage
English
Publisher
ieee
Conference_Titel
Global Telecommunications Conference, 2006. GLOBECOM '06. IEEE
Conference_Location
San Francisco, CA
ISSN
1930-529X
Print_ISBN
1-4244-0356-1
Electronic_ISBN
1930-529X
Type
conf
DOI
10.1109/GLOCOM.2006.166
Filename
4150796
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