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Iterative soft-minimum mean-square error equalization for digital nonlinear page-oriented memories

机译:数字非线性面向页面存储器的迭代软最小均方误差均衡

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摘要

Digital page-oriented volume holographic memory (POVHM) is a promising candidate for next-generation ultrahigh capacity optical data storage technology. As the capacity of the POVHMs increases, the bit error rate performance of the system is degraded due to increased interpixel interference (IPI) and noise. To improve the system performance under these adverse effects and to increase the capacity, joint iterative soft equalization-detection and error correction decoding might be attractive. To address that, by considering the nonlinearity inherent in the channel, an iterative soft equalization method that is optimized in the minimum mean-square error (MMSE) sense, called the iterative soft-MMSE (ISMMSE) equalization, is devised. The performance of the ISMMSE is evaluated by use of numerical experiments under different amounts of IPI and optical noise. Simulation results suggest that the ISMMSE is a good candidate for an ultrahigh capacity POVHM, which employs joint iterative equalization-detection and decoding.
机译:面向数字页面的体积全息存储器(POVHM)是下一代超高容量光学数据存储技术的有希望的候选者。随着POVHM容量的增加,由于像素间干扰(IPI)和噪声增加,系统的误码率性能下降。为了在这些不利影响下提高系统性能并增加容量,联合迭代软均衡检测和纠错解码可能很有吸引力。为了解决这个问题,通过考虑通道固有的非线性,设计了一种在最小均方误差(MMSE)意义上优化的迭代软均衡方法,称为迭代软MMSE(ISMMSE)均衡。 ISMMSE的性能通过在不同数量的IPI和光学噪声下使用数值实验进行评估。仿真结果表明,ISMMSE是采用联合迭代均衡检测和解码的超高容量POVHM的理想候选者。

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  • 来源
    《Applied optics》 |2006年第28期|共9页
  • 作者

    Mehmet Keskinoz;

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  • 正文语种 eng
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