A new nonlinear multi-filter detection concept for the high density magnetic recording channel

In this work, a new approach to detection in high density magnetic recording is presented. The basic detector structure is a bank of parallel sub-detectors which are specialized in different channel states. The individual adaptation of the sub-detectors to the channel properties is done by a learnin...

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Bibliographic Details
Published in:IEEE transactions on magnetics 1998-07, Vol.34 (4), p.1934-1936
Main Authors: Obernosterer, F., Kratzert, A., Oehme, W.F.
Format: Article
Language:English
Subjects:
Applied sciences
Channel bank filters
Decision feedback equalizers
Detectors
Electronics
Exact sciences and technology
Filtering
Intersymbol interference
Low pass filters
Magnetic devices
Magnetic noise
Magnetic recording
Neural networks
Nonlinear distortion
Other magnetic recording and storage devices (including tapes, disks, and drums)
Semiconductor electronics. Microelectronics. Optoelectronics. Solid state devices
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Summary:In this work, a new approach to detection in high density magnetic recording is presented. The basic detector structure is a bank of parallel sub-detectors which are specialized in different channel states. The individual adaptation of the sub-detectors to the channel properties is done by a learning algorithm so that no explicit channel model is required. On both simulated and experimental data it is shown that the proposed detection scheme has excellent performance in the presence of strong nonlinear distortion and signal dependent noise. At user densities of 3.5 and 4.0 using RLL(1,7) encoding the new scheme outperforms multi-level decision feedback equalization (MDFE) detection by a factor of up to 500 in error rate. The structure is well suited for hardware implementation.
ISSN:0018-9464
1941-0069
DOI:10.1109/20.706748