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一种基于全新算法的盲最佳多用户检测器
引用本文:靳天玉,郭明超,饶增仁.一种基于全新算法的盲最佳多用户检测器[J].甘肃科学学报,2010,22(4):110-113.
作者姓名:靳天玉  郭明超  饶增仁
作者单位:兰州大学信息科学与工程学院,甘肃兰州730000
基金项目:甘肃省自然科学基金资助项目
摘    要:提出一种模拟基因工程技术优化算法,进而基于MMSE准则提出一种全新的模拟基因工程技术优化算法的盲最佳多用户检测器SGE(Blind Optimal Multi-User Detector of Simulating Ge-netic Engineering,SGE),盲最佳多用户检测.该算法源于通过基因校正改善物种品质的思想,是一种进化算法,其算法效率远远高于遗传算法等.SGE盲最佳多用户检测只需要很少的用户信息就能够获得和Verdu多用户检测器相同的误码率性能.

关 键 词:优化算法  基因工程  多用户检测  MMSE准则

A Blind Optimal Multi-User Detector Based on a Totally New Algorithm
JIN Tian-yu,GUO Ming-chao,RAO Zeng-ren.A Blind Optimal Multi-User Detector Based on a Totally New Algorithm[J].Journal of Gansu Sciences,2010,22(4):110-113.
Authors:JIN Tian-yu  GUO Ming-chao  RAO Zeng-ren
Institution:(School of Information Science and Engineering ,Lanzhou University, lanzhou 730000 ,China)
Abstract:Simulating Genetic Engineering Optimal Algorithm (SGEOA) is presented. A totally new method of multi-user detector is proposed, that is, Blind Optimal Multi-User Detector of Simulating Genetic Engineering based on MMSE criterion,known as SGEBOMUD. It is derived from the idea that the quality of living things can be improved by modifying their genes in DNA. It is an evolutional algorithm,but its efficiency is much better than that of genetic algorithm. The SGEBOMUD needs less information about the users but is of the same BER as Verdu's MUD.
Keywords:optimal algorithm  genetic engineering  MUD  MMSE criterion
本文献已被 CNKI 维普 万方数据 等数据库收录!
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