Nonlinear Performance Study of Dual FDTS/DF Detector for Magnetic Recording Channels(Special Issue on Selected Papers from the 5th Asian Symposium on Information Storage Technology)
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概要
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Dual FDTS/DF detector is an advanced version of FDTS/DF detector that gives significant performance improvement over FDTS/DF scheme on linear channels, and more-over, in contrast to other dual-detector schemes, it is suitable for various d-constraint coded channels. As recording density increases, channel nonlinearities such as non-linear transition shift(NLTS)and partial erasure(PE)degrade the performance of detectors. In this paper, we use nonlinear channel models to study the BER performance of dual FDTS/DF detector and compare the performances with those of other detectors through bit-by-bit simulations. Simulation results show that the dual FDTS/DF detector is superior in performance compared to FDTS/DF and MDFE detectors even on nonlinear channels, and it gives comparable BER performance with M2DFE(adv.)on nonlinear channels. Results also indicate that the detectors on the d=1 coded channels are more robust to channel nonlinearities compared to those of other detectors(such as PRML family detectors)on the d=0 coded channels.
- 2001-09-01
著者
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Mathew George
Data Storage Institute
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Jin Ming
Seagate Technology International
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Indukumar Kalahasthi
Data Storage Institute
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FARHANG-BOROUJENY Behrouz
The Department of Electrical Engineering, National University of Singapore
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Farhang-boroujeny Behrouz
The Department Of Electrical Engineering National University Of Singapore
関連論文
- Nonlinear performance study of dual FDTS/DF detector for magnetic recording channel (マルチメディアストレージ--第5回アジア情報記録技術シンポジウム〔英文〕)
- Nonlinear Performance Study of Dual FDTS/DF Detector for Magnetic Recording Channels
- Nonlinear Performance Study of Dual FDTS/DF Detector for Magnetic Recording Channels(Special Issue on Selected Papers from the 5th Asian Symposium on Information Storage Technology)
- Application of Nonlinear Minimum Mean Square Error Equalization for Holographic Data Storage