Synchronization and Detection for Two-Dimensional Magnetic Recording
Synchronization and Detection for Two-Dimensional Magnetic Recording
复制标题
二维磁记录的同步与检测
DOI：
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发表时间：
2011
期刊：
影响因子：
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通讯作者：
J. Barry
中科院分区：
文献类型：
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作者：
J. Barry
— 该项目的主题是二维信号处理——对相邻磁道的多个读回波形进行联合处理，以恢复记录的用户比特。二维信号处理有望显着提高面密度，部分原因是它有助于消除保护带效率低下，部分原因是它支持叠瓦写入策略，部分原因是它允许使用更大、更灵敏的读取头。叠瓦写入记录和二维读回检测的组合被称为二维磁记录（TDMR）。然而，在 TDMR 的承诺成为现实之前，信号处理算法还需要进一步发展。本研究提案描述了一个研究项目，该项目探讨了两个基本问题： • 如何最好地执行定时恢复（下轨）和位置恢复（跨轨）？这是定时恢复问题的二维扩展。尽管 TDMR 系统的预期 SNR 较低，但仍要以合理的复杂性实现可靠的性能。 • 如何最好地实现软输出通道检测器，以有效地解决符号间干扰和轨道间干扰？面临的挑战是在性能和复杂性之间找到适当的平衡，因为最佳的二维软输出检测器过于复杂。我们选择关注这两个问题有两个原因： • 同步和检测算法通常是读取通道实现的性能或其整体复杂性的瓶颈。 • 我们对同步和检测之间的交互感兴趣，希望实用的同步策略能够在迭代设置中利用错误控制编码来提高性能。我们的目标是开发同步和检测策略，降低复杂性，但能够接近最佳策略（过于复杂）的性能。
— The subject of this project is two-dimensional signal processing — the joint processing of multiple readback waveforms from neighboring tracks so as to recover the recorded user bits. Two-dimensional signal processing promises significant increases in areal density, in part because it facilitates the elimination of guard band inefficiencies, in part because it enables shingle writing strategies, and in part because it enables the use of larger and more sensitive read heads. The combination of shingle write recording and two-dimensional readback detection is known as two-dimensional magnetic recording (TDMR). Before the promises of TDMR can become a practical reality, however, further advances in signal processing algorithms are required. This research proposal describes a research project that explores two fundamental questions: • How best to performing timing recovery (downtrack) and position recovery (crosstrack)? This is the 2-D extension of the timing recovery problem. The challenge is to achieve reliable performance with reasonable complexity despite the low SNR expected for a TDMR system. • How best to implement a soft-output channel detector that efficiently accounts for both the intersymbol interference and the intertrack interference? The challenge is to find the right balance between performance and complexity, since the optimal 2-D soft-output detector is prohibitively complex. We choose to focus on these two questions for two reasons: • Synchronization and detection algorithms are often the bottleneck to either the performance achieved by the read channel, or to its overall complexity. • We are interested in the interaction between synchronization and detection, with the hope that a practical synchronization strategy will be able to exploit the error-control coding in an iterative setting to improve performance. Our aim is to develop synchronization and detection strategies that have reduced complexity and yet are capable of approaching the performance of optimal strategies (which are prohibitively complex).