Data detection algorithms for perpendicular magnetic recording in the presence of strong media noise
Jackson, Robert Charles (2008) Data detection algorithms for perpendicular magnetic recording in the presence of strong media noise. PhD thesis, University of Warwick.
WRAP_THESIS_Jackson_2008.pdf - Requires a PDF viewer such as GSview, Xpdf or Adobe Acrobat Reader
Official URL: http://webcat.warwick.ac.uk/record=b2257989~S9
As the throughput and density requirements increase for perpendicular magnetic recording channels, the presence of strong media noise degrades performance.
Detection algorithms have been developed that increase performance in channels with strong media noise through the use of data dependent detectors. However optimal data dependent detectors are exponentially more complex than data independent detectors, and therefore cannot be fully exploited. In this thesis we shall discuss the existing detection algorithms, comparing the performance against the complexity.
We then introduce a new sub-optimal detection algorithm, which employs a simple pre-detector that supplies estimates to a main detector. Numerical simulations are performed which show near optimal performance, but without the exponential increase in complexity.
We will also show how detector implementations can exploit structure in the trellis to further reduce complexity, through loops and path invariants.
An analytical means of measuring bit error rate from only the statistics of noise is presented, and this is utilised to optimally determine the equaliser and ISI target coefficients for a white noise Viterbi detector.
Finally, we introduce a new class of VLSI binary addition algorithms which can be utilised to increase the throughput of a Viterbi detector, but which also has a wider application in hardware design.
|Item Type:||Thesis or Dissertation (PhD)|
|Subjects:||Q Science > QA Mathematics|
|Library of Congress Subject Headings (LCSH):||Magnetic disks, Hard disks (Computer science), Integrated circuits -- Very large scale integration, Magnetic memory (Computers) -- Testing, Computer algorithms|
|Official Date:||December 2008|
|Institution:||University of Warwick|
|Theses Department:||Mathematics Institute|
|Supervisor(s)/Advisor:||Zaboronski, Oleg V.|
|Sponsors:||Great Britain. Royal Commission for the Exhibition of 1851 (RCE1851)|
|Format of File:|
|Extent:||236 leaves : ill., charts|
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