首页 | 本学科首页   官方微博 | 高级检索  
     

自适应减少复杂度的盲最大似然序列估计
引用本文:许小东,路友荣,戴旭初,徐佩霞.自适应减少复杂度的盲最大似然序列估计[J].电子学报,2008,36(10):2044-2048.
作者姓名:许小东  路友荣  戴旭初  徐佩霞
作者单位:1. 中国科学技术大学电子工程与信息科学系,安徽合肥,230027
2. 西南电子电信技术研究所,四川成都,610041
摘    要: 基于逐幸存路径处理原理和自适应选择幸存路径的思想,本文提出了一种自适应减少计算复杂度的盲最大似然序列估计新算法.通过分析和推导,给出了一种近似估计网格图最小欧式距离的方法,并利用该估计值对幸存路径进行取舍,在网格搜索中仅保留少数幸存路径来进行信道参数和发送符号序列的联合盲估计.理论分析和计算机仿真结果表明,对严重符号干扰信道,在较高信噪比条件下,本文提出的新算法具有较理想的误符号率性能和较低的计算复杂度.

关 键 词:逐幸存路径处理  减少复杂度  盲最大似然序列估计
收稿时间:2006-10-30

Adaptive Reduced-Complexity Blind Maximum Likelihood Sequence Estimation
XU Xiao-dong,LU You-rong,DAI Xu-chu,XU Pei-xia.Adaptive Reduced-Complexity Blind Maximum Likelihood Sequence Estimation[J].Acta Electronica Sinica,2008,36(10):2044-2048.
Authors:XU Xiao-dong  LU You-rong  DAI Xu-chu  XU Pei-xia
Affiliation:XU Xiao-dong1,LU You-rong2,DAI Xu-chu1,XU Pei-xia1 (1.Department of Electronic Engineering , Information Science,University of Science , Technology of China,Hefei,Anhui 230027,China,2.Southwest Institute of Electronic , Telecommunication Technology,Chengdu,Sichuan 610041,China)
Abstract:A novel algorithm for adaptive reduced-complexity blind maximum likelihood sequence estimation(MLSE) is proposed.Basic idea behind the proposed algorithm is the principle of per-survivor processing(PSP) and the adaptive selection of survivor path.The key feature of the proposed algorithm is that the minimum Euclidean distance in the trellis can adaptively be estimated,and then only a small number of the most likely survivors in the trellis are retained and utilized for joint channel and data estimation.Theo...
Keywords:per-survivor processing  reduced-complexity  blind maximum likelihood sequence estimation  
本文献已被 CNKI 维普 万方数据 等数据库收录!
点击此处可从《电子学报》浏览原始摘要信息
点击此处可从《电子学报》下载全文
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号