Abstract/Details

Turbo decoding for partial response channels


1999 1999

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Abstract (summary)

In this dissertation, concatenated coding techniques combined with iterative decoding techniques are studied and applied to partial response channels.

In Chapter 2, a soft-output decoding algorithm, the a posteriori probability algorithm, is reviewed.

In Chapter 3, turbo coding and decoding for channels without intersymbol interference is reviewed. Concepts essential to turbo decoding such as concatenated coding and pseudo-random interleaving will be introduced.

Turbo decoding for an ideal partial response channel, where the channel is the precoded partial response polynomial followed by additive white Gaussian noise, is discussed in Chapter 4. Several competing architectures are discussed and compared. Performance of these architectures as a function of precoder, outer code, partial response target, interleaver, block-size, and number of iterations is addressed.

Turbo decoding for more realistic magnetic recording channel models is discussed in Chapter 5. The simple white noise channel model is replaced with an equalized Lorentzian channel model to ascertain the performance with the introduction of colored noise. Media noise is introduced with the microtrack channel model. The bit error performance and the byte error burst statistics are investigated for systems employing the various channel models.

In Chapter 6, a novel decision-feedback equalization (DFE) architecture, termed parallel DFE, is introduced. Performance of this alternative to conventional PRML systems is investigated. A turbo decoding technique for use with a parallel DFE detector is presented.

Indexing (details)


Subject
Electrical engineering;
Systems design
Classification
0544: Electrical engineering
0790: Systems design
Identifier / keyword
Applied sciences; Concatenated coding; Partial response channels; Turbo decoding; White noise
Title
Turbo decoding for partial response channels
Author
Souvignier, Thomas Victor
Number of pages
132
Publication year
1999
Degree date
1999
School code
0033
Source
DAI-B 60/07, Dissertation Abstracts International
Place of publication
Ann Arbor
Country of publication
United States
ISBN
9780599391079, 0599391073
Advisor
Wolf, Jack Keil
University/institution
University of California, San Diego
University location
United States -- California
Degree
Ph.D.
Source type
Dissertations & Theses
Language
English
Document type
Dissertation/Thesis
Dissertation/thesis number
9938584
ProQuest document ID
304511970
Copyright
Database copyright ProQuest LLC; ProQuest does not claim copyright in the individual underlying works.
Document URL
http://search.proquest.com/docview/304511970/fulltextPDF
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