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An Iteratively Decodable Tensor Product Code with Application to Data Storage

机译:一种可迭代解码的张量乘积代码及其在数据中的应用   存储

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摘要

The error pattern correcting code (EPCC) can be constructed to provide asyndrome decoding table targeting the dominant error events of an inter-symbolinterference channel at the output of the Viterbi detector. For the size of thesyndrome table to be manageable and the list of possible error events to bereasonable in size, the codeword length of EPCC needs to be short enough.However, the rate of such a short length code will be too low for hard driveapplications. To accommodate the required large redundancy, it is possible torecord only a highly compressed function of the parity bits of EPCC's tensorproduct with a symbol correcting code. In this paper, we show that the proposedtensor error-pattern correcting code (T-EPCC) is linear time encodable and alsodevise a low-complexity soft iterative decoding algorithm for EPCC's tensorproduct with q-ary LDPC (T-EPCC-qLDPC). Simulation results show thatT-EPCC-qLDPC achieves almost similar performance to single-level qLDPC with a1/2 KB sector at 50% reduction in decoding complexity. Moreover, 1 KBT-EPCC-qLDPC surpasses the performance of 1/2 KB single-level qLDPC at the samedecoder complexity.
机译:可以构造错误模式校正码(EPCC),以提供针对维特比检测器输出处符号间干扰通道的主要错误事件的异步解码表。为了使综合征表的大小易于管理并且可能的错误事件列表的大小合理,EPCC的代码字长度必须足够短,但是对于硬盘驱动器应用而言,这样短长度的代码的速率将太低。为了适应所需的大冗余,可以使用符号校正码仅记录EPCC张量积的奇偶校验位的高度压缩函数。在本文中,我们表明所提出的张量误差模式校正码(T-EPCC)是线性时间可编码的,并且还为qcc LDPC(T-EPCC-qLDPC)设计了EPCC的张量积的低复杂度软迭代解码算法。仿真结果表明,T-EPCC-qLDPC具有与单级qLDPC几乎相同的性能,具有1/2 KB的扇区,解码复杂度降低了50%。此外,在相同的解码器复杂度下,1 KBT-EPCC-qLDPC的性能超过了1/2 KB单级qLDPC的性能。

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  • 年度 2010
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  • 正文语种 {"code":"en","name":"English","id":9}
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