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Investigation of Two-Dimensional Magnetic Recording (TDMR) With Position and Timing Uncertainty at 4 Tb/in$^{2}$

机译:具有4 Tb / in $ ^ {2} $位置和定时不确定性的二维磁记录(TDMR)的研究

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摘要

The feasibility of two-dimensional magnetic recording (TDMR) at 4 Tb/in$^{2}$ customer areal-density is investigated via numerical simulations. In addition to the coding overhead needed to correct possible errors in a TDMR channel, the overhead required to obtain accurate position and timing estimates is taken into account in determining achievable customer density. The TDMR channel model used for this investigation is based on a random Voronoi granular medium, a two-dimensional (2-D) Gaussian read sensitivity function with random position and timing offsets and additive white Gaussian noise (AWGN). Read channel signal processing consists of a 2-D linear minimum mean square error (LMMSE) equalizer, a Gaussian mixture model (GMM) based log likelihood ratio (LLR) extractor and a low-density parity-check (LDPC) decoder. This work suggests that reliable performance may be achieved on media with $14 times 10^{12}$ grains/in$^{2}$ by TDMR at a net customer areal-density of 0.29 bits per grain, including the overhead required for the LDPC code and the position and the timing fields.
机译:通过数值模拟研究了在4 Tb / in $ ^ {2} $客户面密度下进行二维磁记录(TDMR)的可行性。除了纠正TDMR信道中可能的错误所需的编码开销外,在确定可实现的客户密度时还考虑了获得准确位置和时序估计所需的开销。用于此研究的TDMR信道模型基于随机Voronoi颗粒介质,具有随机位置和定时偏移以及加性高斯白噪声(AWGN)的二维(2-D)高斯读取灵敏度函数。读取通道信号处理包括二维线性最小均方误差(LMMSE)均衡器,基于高斯混合模型(GMM)的对数似然比(LLR)提取器和低密度奇偶校验(LDPC)解码器。这项工作表明,在TDMR以$ 14乘以10 ^ {12} $谷物/ in $ ^ {2} $的介质上,可以实现可靠的性能,客户净密度为每粒0.29位,包括LDPC码以及位置和定时字段。

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