%0 Journal Article
%T DF-DDEA algorithm based Turbo equalization<br>基于DF-DDEA算法的Turbo均衡研究
%A MENG Qingping
%A ZHOU Xinli
%A TIAN Wei
%A <br>孟庆萍
%A 周新力
%A 田伟
%J 重庆邮电大学学报(自然科学版)
%D 2012
%I 
%X Data-directed Turbo equalization algorithm is researched. When calculating likelihood function, it is assumed that conditional probability density function is Guassian distribution.In fact, when white noise is changed into colored-noise after equalization, conditional probability density function is not exactly Guassian distribution.In order to solve this problem, Decision-feedback data-directed equalization algorithm based turbo equalization is proposed,which can get the Guassian distributed conditional probability density function through decision on equalized symbol. According to whether considering the influence of other symbols in a block to current input symbol or not,the DF-DDEA turbo equalization based on symbol-by-symbol detection and sequence-based detection are derived.The proposed algorithms and DDEA turbo equalization algorithm are compared by simulation, and the performance of the proposed algorithm is improved at different degrees while the computation complexity is not increased.
%K 帧数据处理
%K 数据引导均衡
%K 判决反馈
%K Turbo均衡
%K 逐符号检测
%K 序列检测
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=01BA20E8BA813E1908F3698710BBFEFEE816345F465FEBA5&cid=96E6E851B5104576C2DD9FC1FBCB69EF&jid=5C2694A2E5629ECD6B59D7B28C6937AD&aid=F1066E608B6765704438AE4057B5EEBF&yid=99E9153A83D4CB11&vid=B91E8C6D6FE990DB&iid=B31275AF3241DB2D&sid=FE17D37BFC90FA6B&eid=DBEE434FCBFED297&journal_id=1673-825X&journal_name=重庆邮电大学学报(自然科学版)&referenced_num=0&reference_num=0