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基于遗传算法的自适应聚类与MQAM星座识别
引用本文:吴月娴,葛临东,许志勇,薛富强.基于遗传算法的自适应聚类与MQAM星座识别[J].计算机工程,2007,33(22):39-41,4.
作者姓名:吴月娴  葛临东  许志勇  薛富强
作者单位:信息工程大学信息工程学院,郑州,450002;西南电子电信技术研究所,成都,610041
摘    要:提出了一种基于星座聚类的MQAM调制识别新方法,运用一种改进的基于遗传算法的自适应聚类算法对MQAM星座进行重构和识别。该自适应聚类算法利用遗传算法的高效全局搜索特性,克服了模糊C-均值算法对初始聚类中心和样本输入次序敏感等不足,结合聚类有效性分析实现了聚类中心数目的自适应调整。仿真结果表明,基于该聚类算法的MQAM信号调制阶数识别方法是有效的。

关 键 词:遗传算法  聚类  星座  调制识别
文章编号:1000-3428(2007)22-0039-03
修稿时间:2006-11-26

Adaptive Clustering and MQAM Constellation Recognition Based on Genetic Algorithms
WU Yue-xian,GE Lin-dong,XU Zhi-yong,XUE Fu-qiang.Adaptive Clustering and MQAM Constellation Recognition Based on Genetic Algorithms[J].Computer Engineering,2007,33(22):39-41,4.
Authors:WU Yue-xian  GE Lin-dong  XU Zhi-yong  XUE Fu-qiang
Affiliation:1. Institute of Information Engineering, Information Engineering University, Zhengzhou 450002; 2. Research Institute of Electronic and Telecommunication Technology of Southwest China, Chengdu 610041
Abstract:A novel modulation recognition method for MQAM signals is proposed.It employs a modified genetic algorithms(GA) based clustering method to rebuild and recognize constellations.The presented clustering algorithm not only overcomes the sensitivity to initial centers as fuzzy C-means with the effective global searching ability of GA,but also determines the number of clusters adaptively via validity analysis.Experiments show that this MQAM recognition method is effective.
Keywords:genetic algorithms  clustering  constellation  modulation recognition
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