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激光自混合干涉技术中两种不同形式功率谱密度反演颗粒粒度分布的比较
引用本文:毛帅,申晋,刘伟,王雅静.激光自混合干涉技术中两种不同形式功率谱密度反演颗粒粒度分布的比较[J].山东理工大学学报,2012(3):22-27.
作者姓名:毛帅  申晋  刘伟  王雅静
作者单位:山东理工大学电气与电子工程学院
基金项目:山东省自然科学基金资助项目(ZR2010FM005)
摘    要:激光自混合干涉技术中颗粒粒度分布反演属于病态问题.为了得到较好的颗粒粒度分布,采用Chahine算法作为非负算法,分别对激光自混合干涉线性和对数形式的功率谱密度进行颗粒粒度分布的反演,比较了两种功率谱密度对应的颗粒粒度分布,并且采用Morrison迭代算法平滑Chahine算法的初始向量,减缓了颗粒粒度分布的振动.仿真结果表明对数形式的功率谱密度反演所得的颗粒粒度分布具有更好的抗噪声能力和稳定性.

关 键 词:激光自混合干涉  功率谱密度  颗粒粒度分布  截断奇异值分解  正则化参数

Comparison of inversion of two power spectral densities for particle-sizing distributions in laser optical self-mixing interference
MAO Shuai,SHEN Jin,LIU Wei,WANG Ya-jing.Comparison of inversion of two power spectral densities for particle-sizing distributions in laser optical self-mixing interference[J].Journal of Shandong University of Technology:Science and Technology,2012(3):22-27.
Authors:MAO Shuai  SHEN Jin  LIU Wei  WANG Ya-jing
Institution:(School of Electrical and Electronic Engineering,Shandong University of Technology,Zibo 255091,China)
Abstract:Inversion of particle size distribution belongs to ill-condition problem,in order to get relative good distribution,Chahine method was used as nonnegative iterative algorithm for the inversions of linear and logarithmic coordinate frequency power spectral density for estimating particle size distribution(PSD) from self-mixing interference(SMI) signals.The particle size distributions at the two different power spectral densities were also compared.Morrison’s iterative method was adopted to smooth the initial vector of Chahine method served as a potent approach of alleviating the oscillation in PSD.Simulation results indicated that logarithmic form power spectral density had better ability of resisting noise and stability.
Keywords:self-mixing interference  power spectral density  particle size distribution  truncated singular value decomposition  regularization parameter
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