Integrative, Hybrid and Complex Systems Xinmiao Zhang, Case Western Reserve University Krishna Narayanan, Texas A&M University GOALI: Collaborative Proposal: Advanced Coding and Signal Processing for Magnetic Recording: From Theory to Implementation

The objective of this research is to develop practical soft-decision Reed-Solomon decoding algorithms, signal processing algorithms and corresponding efficient hardware implementations to demonstrate a novel read-channel architecture that can support recording densities of a terabyte per square-inch. The approach is to integrate theoretical development with the design of a hardware architecture such that practical high-performance systems can be developed.

Intellectual Merit: In this research, algorithms and hardware are jointly designed to allow the implementation and evaluation of novel soft-decision decoding algorithms for Reed-Solomon codes. Equalization designed to work in tandem with the soft-decision decoding algorithm is another focus. The work falls into three areas: (1) design of a soft-decision Reed-Solomon decoding algorithm that combines algebraic soft-decision decoding with generalized minimum distance decoding; (2) integrated hardware architecture and algorithm design for high-performance and hardware-friendly soft-decision decoding and equalization; and (3) design of efficient algorithms tailored to magnetic recording channels rather than to simplified channel models for more general applications.

Broader Impacts: The research has the potential to help the recording industry make the critical choice of whether to retain the use of Reed-Solomon codes for read channels or to use other codes. The collaboration with a disk drive manufacturer provides opportunities for technology transfer to industry. The project also creates opportunities for students to interact with industry collaborators through internships and regular meetings. The research has the potential for impact other applications where Reed-Solomon codes are used, such as optical recording, compact disk and DVD players, deep-space communications, and high-speed modems.

Project Start
Project End
Budget Start
2008-05-01
Budget End
2011-10-31
Support Year
Fiscal Year
2008
Total Cost
$175,723
Indirect Cost
Name
Texas Engineering Experiment Station
Department
Type
DUNS #
City
College Station
State
TX
Country
United States
Zip Code
77845