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内蒙古自治区呼和浩特市赛罕区大学西街235号 邮编: 010021
作者机构:Univ El Oued Fac Sci & Technol El Oued Algeria Mohamed Khider Univ LMSE Biskra Algeria Mohamed Boudiaf Univ Dept Elect Msila Algeria UVHC LAMIH UMR CNRS 8201 F-59313 The Mont Houy 9 Valenciennes France
出 版 物:《INTERNATIONAL JOURNAL OF SYSTEM ASSURANCE ENGINEERING AND MANAGEMENT》 (国际系统保证工程与管理杂志)
年 卷 期:2017年第8卷第1期
页 面:188-197页
核心收录:
学科分类:0202[经济学-应用经济学] 02[经济学] 1202[管理学-工商管理] 1201[管理学-管理科学与工程(可授管理学、工学学位)] 0837[工学-安全科学与工程] 0823[工学-交通运输工程]
主 题:MAP algorithm Impulsive noise GGD FLOS approach HOS approach RMSE BPSK modulation
摘 要:In order to calculate the branches metric in the maximum a posteriori algorithm of turbo decoder, it is mandatory to know the values of parameters of the noise contaminating the transmitted signal. In the case of a generalized Gaussian distribution impulsive noise, it is very difficult to estimate the shape parameter, because the noise is inseparable from transmitted signal at turbo decoder reception. Until now, few researches about shape parameter estimation for an impulsive noise on turbo codes have been presented, and existing estimation methods use only the high order statistics (HOS). In this paper, we propose a novel semi-blind method, that does not use the HOS, to estimate the shape parameter from only the received signal in the turbo decoder. This method is based on fractional lower order statistics and the probability that the received signal is the same sign as the transmitted signal modulated with BPSK. The results, in terms of root mean square error, show the advantage of our method over other methods using HOS in the case of impulsive noise.