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

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.