优化多频声虚拟频谱分析仪的激励信号  

Optimization of the Multitone Excitation Signal of Virtual Spectrum Analyzer

作　　者：王晓艳 安镇宙 王海峰 WANG Xiaoyuan;AN Zhenzhou;WANG Haifeng(Yuxi Normal University,Yuxi,Yunnan 653100,China;Shenzhen Institute of Advanced Technology,Chinese Academy of Sciences,Shenzhen,Guangdong 503644,China)

机构地区：[1]玉溪师范学院数学与信息技术学院,云南玉溪653100 [2]中国科学院深圳先进技术研究院,广东深圳503644

出　　处：《玉溪师范学院学报》2018年第4期42-46,共5页Journal of Yuxi Normal University

基　　金：国家自然科学基金项目;项目编号:61563055;云南省教育厅重点项目;编号:2015Z178

摘　　要：提出了一种用随机频率间隔的多频声信号作为激励信号的虚拟频谱分析仪来优化低波峰系数的方法,并对所设计的优化方法进行了仿真测试.测试表明,该方法比之前的方法更接近于理论最优的最大峰值曲线,且有效降低了激励信号的波峰系数,减小了测量误差,可以应用于磁共振成像实验来对其中的硬件系统进行测量.In this paper, an iterative algorithm of multitone excitation signals in the virtual frequency sweep is proposed to opti-mize the low crest factor of the signals with random frequency interval. And stimulation tests of the proposed method were conduc-ted. The results show that compared with the previous multitone frequency sweep, this method has a lower crest factor of the excita-tion signals, a maximum peeik closer to the theoretical optimal curve and a reduced measuring error because of lower crest factors. In the future, this method can be applied to the system measurements in the experiments of magnetic resonance imaging.

关 键 词：多频声信号 低波峰系数 虚拟频谱分析仪 激励信号 

分 类 号：TM935.1[电气工程—电力电子与电力传动]