The principal component analysis of signal characteristic parameters

摘要：

With the development of wireless communication, the automatic modulation recognition technology of communicational signals becomes an important theme. In this paper, based on multivariate statistical principal component analysis, we select characteristics of the signal, and use radio monitoring equipment mined measurement data to do some processing and analysis, which provided technical support to automatic modulation recognition of the radio signal.

关键词： Modulation recognition Feature selection PCA SAS

作者: Li guang-hui Pei zheng Chen ran Hu dali

作者单位: School of Mathematics&Compute Engineering.Xihua University, Chengdu 610039

会议类型: 国际会议

会议名称: 4th International Conference on Measuring Technology and Mechatronics Automation(第四届检测技术与机电自动化国际会议 ICMTMA 2012)

会议地点: 三亚

会议语种:英文

页码: 1269-1272

在线出版日期: 2012-01-06（万方平台首次上网日期，不代表论文的发表时间）