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Signal quality improvement of holographic data storage using adaptive two-dimensional filter

机译:使用自适应二维滤波器改善全息数据存储的信号质量

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Holographic data storage is being widely studied for the purpose of developing next-generation large optical memories. A prospective use of this type of memory is in building image archives in large-scale data centers. In particular, demand for energy conservation at data centers, and therefore for holographic data storage, is growing. In holographic data storage, interference between bits occurs owing to wave aberration in the optical system, shrinkage of the medium, and crosstalk noise from neighboring holograms during multiplex recording; as a result of the interference, the reproduced image deteriorates and the bit error rate (BER) increases. In this study, to reduce the BER in both off-axis-type recording and coaxial-type recording, a two-dimensional finite impulse response (FIR) filter is applied to a reproduced image that has been recorded by angle multiplex recording and shift multiplex recording. First, for the optimization of the FIR filter coefficients, the linear minimum mean square error (LMMSE) method is applied; this method optimizes the coefficients by reducing the BER. Furthermore, for evaluating the optimization performance of the LMMSE method, the optimization performance is compared with that of the real-coded genetic algorithm (RCGA), which has the capability to search a wide range of coefficients. The optimization by the LMMSE method has been found to be excellent for off-axis-type recording but not for coaxial-type recording. It is speculated that this is because of the brightness irregularity in the reproduced image, resulting from crosstalk. On the other hand, a marked reduction in the BER is observed using the RCGA, despite the brightness irregularity. In this study, the effectiveness of the LMMSE method for signals recorded by coaxial-type recording, in which large brightness irregularity is expected, is examined using automatic gain control (AGC). It is found that the application of AGC reduces the BER even in the case of coaxial-type recording.
机译:为了开发下一代大型光学存储器,全息数据存储正在被广泛研究。这种存储器的预期用途是在大型数据中心中建立图像档案。特别地,对数据中心的节能以及因此对全息数据存储的需求正在增长。在全息数据存储中,由于在光学系统中的波像差,介质的收缩以及在多重记录期间来自相邻全息图的串扰噪声,所以在位之间发生干扰。作为干扰的结果,再现的图像劣化并且比特错误率(BER)增加。在这项研究中,为了减少离轴型记录和同轴型记录中的BER,将二维有限脉冲响应(FIR)滤波器应用于已通过角度多路复用记录和移位多路复用记录的再现图像记录。首先,为了优化FIR滤波器系数,采用了线性最小均方误差(LMMSE)方法;该方法通过降低BER来优化系数。此外,为了评估LMMSE方法的优化性能,将优化性能与具有广泛系数搜索能力的实编码遗传算法(RCGA)进行了比较。已经发现,通过LMMSE方法进行的优化对于离轴型记录是极好的,但是对于同轴型记录却不是。推测这是由于串扰导致再现图像中的亮度不均匀。另一方面,尽管亮度不均匀,但使用RCGA仍可观察到BER的显着降低。在这项研究中,使用自动增益控制(AGC)检验了LMMSE方法对同轴型记录信号的有效性,在同轴型记录中预计会有很大的亮度不规则性。发现即使在同轴型记录的情况下,AGC的应用也降低了BER。

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