In view of the problem that the sensing characteristics of the multi-mode interferometric fiber sensors cannot be accurately analyzed,an analysis method based on the fast Fourier transform(FFT)and inverse fast Fourier...In view of the problem that the sensing characteristics of the multi-mode interferometric fiber sensors cannot be accurately analyzed,an analysis method based on the fast Fourier transform(FFT)and inverse fast Fourier transform(IFFT)is proposed and demonstrated theoretically and experimentally.The suitabilities of the rectangular window function with the narrow main lobe(high spectrum resolution)and low side lobe(high main mode energy leakage)and the Hanning window function with the wide main lobe(low spectrum resolution)and high side lobe(high energy concentration)in this kind of sensor analysis are discussed,respectively.This method can not only realize the sensing performance analysis of the various modes,but also overcome the inconsistency of the different interference wavelength(dip)sensing characteristics in the conventional analysis methods.At the same time,this method is also beneficial to solve the repetitive problem of such sensors.展开更多
针对水下目标定位中存在的传统短时傅里叶变换(Short Time Fourier Transform,STFT)方法的局限性,提出一种基于自适应窗函数的优化方法。通过研究基于谱分析的水下目标定位基本原理,聚焦于STFT的Doppler频移分析方法,并引入自适应窗函...针对水下目标定位中存在的传统短时傅里叶变换(Short Time Fourier Transform,STFT)方法的局限性,提出一种基于自适应窗函数的优化方法。通过研究基于谱分析的水下目标定位基本原理,聚焦于STFT的Doppler频移分析方法,并引入自适应窗函数进行优化,同时使用公开数据集对两种方法进行比较分析。实验结果表明,所提方法在速度估计精度和目标定位精度方面均优于传统STFT方法。展开更多
基金This work was supported by the State Key Laboratory of Mining Disaster Prevention and Control,Shandong University of Science and Technology(Grant Nos.MDPC201602 and MDPC2022ZR04)Department of Education1of Shandong Province(Grant No.J06P14)+1 种基金The Qingdao Feibo Technology Co.,Ltd.(Grant No.02040102401)Postdoctoral Research Foundation of China(Grant Nos.200902574 and 20080441150).
文摘In view of the problem that the sensing characteristics of the multi-mode interferometric fiber sensors cannot be accurately analyzed,an analysis method based on the fast Fourier transform(FFT)and inverse fast Fourier transform(IFFT)is proposed and demonstrated theoretically and experimentally.The suitabilities of the rectangular window function with the narrow main lobe(high spectrum resolution)and low side lobe(high main mode energy leakage)and the Hanning window function with the wide main lobe(low spectrum resolution)and high side lobe(high energy concentration)in this kind of sensor analysis are discussed,respectively.This method can not only realize the sensing performance analysis of the various modes,but also overcome the inconsistency of the different interference wavelength(dip)sensing characteristics in the conventional analysis methods.At the same time,this method is also beneficial to solve the repetitive problem of such sensors.
文摘针对水下目标定位中存在的传统短时傅里叶变换(Short Time Fourier Transform,STFT)方法的局限性,提出一种基于自适应窗函数的优化方法。通过研究基于谱分析的水下目标定位基本原理,聚焦于STFT的Doppler频移分析方法,并引入自适应窗函数进行优化,同时使用公开数据集对两种方法进行比较分析。实验结果表明,所提方法在速度估计精度和目标定位精度方面均优于传统STFT方法。
