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http://dx.doi.org/10.5573/ieie.2014.51.5.051

An Evolutionary Algorithm to the Threshold Detection Method for the M-ary Holographic Data Storage  

Kim, Sunho (School of Electronic Engineering, Soongsil University)
Lee, Jieun (School of Electronic Engineering, Soongsil University)
Im, Sungbin (School of Electronic Engineering, Soongsil University)
Publication Information
Journal of the Institute of Electronics and Information Engineers / v.51, no.5, 2014 , pp. 51-57 More about this Journal
Abstract
In this paper, we introduce the adaptive threshold detection scheme based on an evolutionary arithmetic algorithm for the M-ary holographic data storage(HDS) system. The genetic algorithm is a particular class of evolutionary arithmetic based on the process of biological evolution, which is a very promising technique for optimization problem and estimation applications. In this study, to improve the detection performance that is degraded by the HDS channel environment and the pixel misalignment, the threshold value was assumed to be a population set of the evolutionary algorithm. The proposed method can find an appropriate population set of bit threshold, which minimizes bit error rate(BER) as increased generation. For performance evaluation, we consider severe misalignment effect in the 4-ary holographic data storage system. Furthermore, we measure the BER performance and compare the proposed methods with the conventional threshold detection scheme, which verifies the superiority of the proposed scheme.
Keywords
M-ary 홀로그래픽 저장 장치;진화 알고리즘;유전 알고리즘;양자 유전 알고리즘;
Citations & Related Records
Times Cited By KSCI : 1  (Citation Analysis)
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1 Sunho Kim, and Sungbin Im, "Application of an Iterative 2D Equalizer to Holographic Data Storage Systems," Journal of IEEK (TC), Vol 49, No 7, 2012.   과학기술학회마을
2 S. Zhang and W. Jiang, "A novel quantum genetic algorithm and its application," IEEE 2012 Eighth International Conf. on Natural Computation (ICNC), pp. 613-617, 2012.
3 L. Hesselink, S.S. Orlov, and M.C. Bashaw, "Holographic data storage systems," Proc. IEEE, vol. 92, no. 8, pp. 1231-1280, Aug. 2004.   DOI   ScienceOn
4 U. Wachsmann, R. F. H. Fischer, and J.B. Huber, "Multilevel Codes: Theoretical Concepts and Practical Design Rules," IEEE. Trans. Inform. Theory, vol.45, pp. 1361-1391, Jul. 1999.   DOI   ScienceOn
5 S. G. Srinivasa, O. Momtahan, A. Karbaschi, S. W. Mclaughlin, A. Adibi, and F. Fekri, "M-ary, Binary, and Space-Volume Multiplexing Trade-offs for Holographic Channel," GLOBECOM '06. IEEE, pp.1-5, 2006.
6 K. M. Chugg, X. Chen and M. A. Niefelf, "Two-dimensional equalization in coherent and incoherent page oriented optical memory," J. Opt. Soc. Amer. A, vol. 16, pp. 549-562, 1999.   DOI   ScienceOn
7 J. Kim, J. Lee, T. Park and S. Im, "Expectation-maximization based adaptive threshold detection algorithm for multi-level holographic data storage," Jpn. J. Appl. Phys., vol.50, no. 9, pp. 09MB01-3, 2011.   DOI
8 D. E. Goldberg, Genetic algorithms in search, optimization, and machine learning, Ed : Addison-Wesley, 1989.
9 A. Malossini, E. Blanzieri and T. Calarco, "Quantum Genetic Optimization," IEEE Trans. on Evolutionary Computation, vol. 12, pp. 231-241, 2008.   DOI   ScienceOn
10 J. Guo, L. Sun and R. Wang, "An Improved Quantum Genetic Algorithm," IEEE Conf. on Genetic and Evolutionary Computing, pp. 14-18, 2009.
11 W. Zhang and Y. Qiu, "The research of the feature selection method based on the ECE and quantum genetic algorithm," IEEE 2010 international conf. on ICACTE, pp. V6-193-196, 2010.