| Project/Area Number |
11650384
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| Research Category |
Grant-in-Aid for Scientific Research (C)
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| Allocation Type | Single-year Grants |
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| Section | 一般 |
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| Research Field |
情報通信工学
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| Research Institution | EHIME UNIVERSITY |
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Principal Investigator |
OKAMOTO Yoshihiro Ehime University, Dept. Electrical and Electronic Eng., Associate Professor, 工学部, 助教授 (20224082)
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| Co-Investigator(Kenkyū-buntansha) |
SAITO Hidetoshi Ehime University, Dept. Electrical and Electronic Eng., Instructor, 工学部, 助手 (60274338)
OSAWA Hisashi Ehime University, Dept. Electrical and Electronic Eng., Professor, 工学部, 教授 (50029336)
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| Project Period (FY) |
1999 – 2000
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| Project Status |
Completed (Fiscal Year 2000)
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| Budget Amount *help |
¥3,700,000 (Direct Cost: ¥3,700,000)
Fiscal Year 2000: ¥800,000 (Direct Cost: ¥800,000)
Fiscal Year 1999: ¥2,900,000 (Direct Cost: ¥2,900,000)
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| Keywords | PRML Systems / Punctured RSC Code / Longitudinal Magnetic Recording / Iterative Decoding / Turbo Code / Perpendicular Magnetic Recording / RLL Code / HDD |
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| Research Abstract |
Studies of signal processing to achieve high recording density of hard disk drives were performed
and following results were obtained.
(1) Modeling of R/W channel
Models of both longitudinal and perpendicualr recording channels were obtained by R/W
experiments using a spinstand, an arbitrary waveform generator and a digital storage oscillo-scope.
(2) Punctured convolutional coded PRML system using two track recording
Punctured convolutional coded PRML system using two tracks with a half track width was demonstrated. Results show the system has an advantage over the linear density of a system using one track.
(3) High rate punctured RSC code
Rate 8n/8n+1 punctured convolutional encoder for a serially concatenated turbo coding was constructed and evaluated in the turbo coding and iterative decoding system. The results show the system has a bit error rate characteristic such as a waterfall.
(4) Turbo coding and iterative decoding system with RLL constraint
64/65(0,8) RLL code and turbo coding system which keeps RLL constraint are developed. It is clarified that the turbo coding with 64/65(0,8) RLL code and iterative decoding system exhibits a good performance over that with 8/9 (0,4/4) or 16/17 (0,6/6) RLL code.
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