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GOALI : Collaborative Proposal: Advanced Coding and Signal Processing

GOALI : Collaborative Proposal: Advanced Coding and Signal Processing
目标:协作提案:高级编码和信号处理
批准号:
0802124
负责人:
Krishna Narayanan
金额:
$17.57万
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2008
资助国家:
美国
项目状态:
已结题
起止时间:
2008-05-01 至 2011-10-31

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中文摘要
翻译
综合、混合和复杂系统张新淼,凯斯西储大学krishna Narayanan, Texas A&M大学目标:合作提案:磁记录的高级编码和信号处理从理论到实现本研究的目的是开发实用的软决策Reed-Solomon解码算法、信号处理算法和相应的高效硬件实现,以演示一种新的读取通道架构,该架构可以支持每平方英寸1tb的记录密度。该方法是将理论发展与硬件架构设计相结合,从而开发出实用的高性能系统。智力优势:在本研究中,算法和硬件被联合设计,以允许实现和评估里德-所罗门码的新型软判决解码算法。与软判决解码算法协同工作的均衡化设计是另一个焦点。主要工作分为三个方面:(1)设计了一种将代数软判决译码与广义最小距离译码相结合的软判决Reed-Solomon译码算法;(2)集成硬件架构和算法设计,实现高性能、硬件友好的软判决译码与均衡;(3)设计针对磁记录通道的高效算法,而不是针对更一般应用的简化通道模型。更广泛的影响:这项研究有可能帮助唱片业做出关键的选择,是继续使用里德-所罗门码作为读取通道,还是使用其他代码。与磁盘驱动器制造商的合作为技术向工业转移提供了机会。该项目还为学生创造了通过实习和定期会议与行业合作者互动的机会。这项研究有可能影响其他使用里德-所罗门码的应用,如光学记录、光盘和DVD播放器、深空通信和高速调制解调器。
英文摘要
Integrative, Hybrid and Complex SystemsXinmiao Zhang, Case Western Reserve UniversityKrishna Narayanan, Texas A&M UniversityGOALI: Collaborative Proposal: Advanced Coding and Signal Processing for Magnetic Recording: From Theory to ImplementationThe 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.
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