Sequential Monte Carlo method for blind equalization of a nonlinear satellite communication channel

被引:0
|
作者
Sénécal, S [1 ]
Amblard, PO [1 ]
Cavazzana, L [1 ]
机构
[1] ENSIEG, LIS, F-38402 St Martin Dheres, France
关键词
D O I
暂无
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
This paper proposes a sequential Monte Carlo simulation method for equalizing a satellite communication channel. The main difficulties encountered are the nonlinear distorsions due to the amplifier stage in the satellite. The aim of the method is to blindly restore the emitted message by considering a Bayesian approach. Thus, prior knowledge on the modeling of the nonlinearity is taken into account in the posterior distribution of the input sequence. Such a distribution is very difficult to study and thus motivates the implementation of Monte Carlo techniques. This approach makes it possible to solve the problem for a simplified model. The simulation scheme dealing with the complete transmission chain uses the method developed for the simplified model. Performance of the equalization algorithm is evaluated using Bit Error Rate versus Signal-to-Noise Ratio curves.
引用
收藏
页码:697 / 700
页数:4
相关论文
共 50 条
  • [21] Gaussian Weighted MFCM for Nonlinear Blind Channel Equalization
    Han, Soowhan
    Park, Sungdae
    INTERNATIONAL JOURNAL OF COMPUTER SCIENCE AND NETWORK SECURITY, 2008, 8 (05): : 44 - 50
  • [22] A blind method for simo channel identification and equalization
    Chen, S. (spchen@public.wh.hb.cn), Emirates Telecommunications Corporation (ETISALAT); et al.; Etisalat College of Engineering (ECE); IEEE Circuits and Systems Society (CAS); The Institute of Electrical and Electronics Engineers (IEEE); University of Sharjah (UOS) (Institute of Electrical and Electronics Engineers Inc.):
  • [23] Novel blind channel identification and equalization method
    Zhang, Wei-Tao
    Lou, Shun-Tian
    Xi Tong Gong Cheng Yu Dian Zi Ji Shu/Systems Engineering and Electronics, 2009, 31 (03): : 511 - 514
  • [24] A blind method for SIMO channel identification and equalization
    Chen, SP
    Yao, TR
    ICECS 2003: PROCEEDINGS OF THE 2003 10TH IEEE INTERNATIONAL CONFERENCE ON ELECTRONICS, CIRCUITS AND SYSTEMS, VOLS 1-3, 2003, : 336 - 339
  • [25] A blind method for SIMO channel identification and equalization
    1600, Emirates Telecommunications Corporation (ETISALAT); Etisalat College of Engineering (ECE); IEEE Circuits and Systems Society (CAS); Institute of Electrical and Electronics Engineers (IEEE); University of Sharjah (UOS) (Institute of Electrical and Electronics Engineers Inc., United States):
  • [26] Sequential Monte Carlo Filtering for Nonlinear GNSS Trajectories
    Alkhatib, H.
    Paffenholz, J. -A.
    Kutterer, H.
    VII HOTINE-MARUSSI SYMPOSIUM ON MATHEMATICAL GEODESY, 2012, 137 : 81 - 86
  • [27] Satellite Image Denoising using Sequential Monte Carlo Methods
    Solarte, Kelvin
    Sanchez, Luis
    Ordonez, Joan
    INGENIERIA UC, 2014, 21 (02): : 35 - 42
  • [28] A sequential Monte Carlo method for motif discovery
    Liang, Kuo-ching
    Wang, Xiaodong
    Anastassiou, Dimitris
    IEEE TRANSACTIONS ON SIGNAL PROCESSING, 2008, 56 (09) : 4496 - 4507
  • [29] Blind detection in MIMO systems via sequential Monte Carlo
    Guo, D
    Wang, XD
    IEEE JOURNAL ON SELECTED AREAS IN COMMUNICATIONS, 2003, 21 (03) : 464 - 473
  • [30] Wavelet-based sequential Monte Carlo blind receivers in fading channels with unknown channel statistics
    Guo, D
    Wang, XD
    Chen, R
    IEEE TRANSACTIONS ON SIGNAL PROCESSING, 2004, 52 (01) : 227 - 239