Minimum Mean-Square Error and Blind Equalization for Digital Holographic Data Storage with Intersymbol Interference

被引:0
|
作者
Choi, An Sik [1 ]
Baek, Woon Sik [1 ]
机构
[1] Sch. of Electronics and Informations, KyungHee University, Yongin-si, Kyunggi-do 449-701, Korea, Republic of
来源
| 1600年 / Japan Society of Applied Physics卷 / 42期
关键词
Adaptive filtering - Bit error rate - Charge coupled devices - Compact disks - Holograms - Holography - Intersymbol interference - Light modulators;
D O I
暂无
中图分类号
学科分类号
摘要
Minimum mean-square error (MMSE) and blind equalization schemes were employed to improve bit-error rate (BER) and to mitigate intersymbol interference (ISI) generated during storage and retrieval processes of data pages in a holographic data storage system. The methods for designing and applying MMSE and blind equalization were described. A least mean square (LMS) algorithm was performed with spatial light modulator (SLM) input and charge-coupled-device (CCD) output data of the first page. The results show that the BER performance improved significantly compared with those before equalization.
引用
收藏
相关论文
共 50 条
  • [41] Complex linear minimum mean-squared-error equalization of spatially quadrature-amplitude-modulated signals in holographic data storage
    Sato, Takanori
    Kanno, Kazutaka
    Bunsen, Masatoshi
    JAPANESE JOURNAL OF APPLIED PHYSICS, 2016, 55 (09)
  • [42] Sparse Minimum Mean Square Error(MMSE) Blind Beamformer
    Peng, Hua
    Al-Dhahir, Naofal
    2015 IEEE International Wireless Symposium (IWS 2015), 2015,
  • [43] LINEAR MINIMUM MEAN-SQUARE ERROR ESTIMATION BASED ON HIGH-DIMENSIONAL DATA WITH MISSING VALUES
    Zamanighomi, Mahdi
    Wang, Zhengdao
    Slavakis, Konstantinos
    Giannakis, Georgios B.
    2014 48TH ANNUAL CONFERENCE ON INFORMATION SCIENCES AND SYSTEMS (CISS), 2014,
  • [45] Recursive Polynomial Minimum Mean-Square Error Estimation with Applications to Orbit Determination
    Servadio, Simone
    Zanetti, Renato
    JOURNAL OF GUIDANCE CONTROL AND DYNAMICS, 2020, 43 (05) : 939 - 954
  • [46] Radar waveform design using minimum mean-square error and mutual information
    Yang, Yang
    Blum, Rick S.
    2006 IEEE SENSOR ARRAY AND MULTICHANNEL SIGNAL PROCESSING WORKSHOP PROCEEDINGS, VOLS 1 AND 2, 2006, : 234 - +
  • [47] Mean-Square Convergence Analysis of ADALINE Training With Minimum Error Entropy Criterion
    Chen, Badong
    Zhu, Yu
    Hu, Jinchun
    IEEE TRANSACTIONS ON NEURAL NETWORKS, 2010, 21 (07): : 1168 - 1179
  • [48] The analysis of structurally constrained minimum mean-square error block matrix filters
    Corral, CA
    Lindquist, CS
    THIRTIETH ASILOMAR CONFERENCE ON SIGNALS, SYSTEMS & COMPUTERS, VOLS 1 AND 2, 1997, : 24 - 28
  • [49] Speech enhancement based on minimum mean-square error estimation and supergaussian priors
    Martin, R
    IEEE TRANSACTIONS ON SPEECH AND AUDIO PROCESSING, 2005, 13 (05): : 845 - 856
  • [50] ON LIMITATIONS OF MINIMUM MEAN-SQUARE ERROR DECONVOLUTION IN DERIVING IMPULSE RESPONSES OF ROOMS
    WALSH, JP
    JOURNAL OF THE ACOUSTICAL SOCIETY OF AMERICA, 1985, 77 (02): : 547 - 556