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用于重叠峰分辨的卡尔曼滤波法
  • 期刊名称:传感器与微系统. 25(12). 26-28, 2006
  • 时间:0
  • 分类:TP274[自动化与计算机技术—控制科学与工程;自动化与计算机技术—检测技术与自动化装置]
  • 作者机构:[1]中国科学院电子学研究所传感技术国家重点实验室,北京100080
  • 相关基金:国家自然科学基金资助项目(60402002)
  • 相关项目:用于离子迁移率谱仪的MEMS表面电离源研究
中文摘要:

导数法广泛应用于重叠峰分辨,但信噪比会随着导数阶数的增加而降低。提出一种基于卡尔曼滤波的导数方法,可以显著提高高阶导数谱的信噪比,提高重叠峰分辨力。另外,该方法不需要建立数学模型,计算简便,能满足手持式仪器实时性要求。用仿真数据研究了该法在重叠峰分辨中对信噪比的影响,以离子迁移率谱图分辨为例说明了该法的实际应用。

英文摘要:

Derivative method has been widely used for resolving overlapped spectra, but the noise level increases apparently in higher order derivative calculation. A new method is proposed to resolve overlapped spectra based on Kalman filter,which can significantly enhance the signal-to-noise ratio(SNR) at higher order derivative calculation and improve the resolution for overlapped spectra. Moreover,it does not need to develop new mathematical model and its simplicity makes it a plausible real-time solution for portable instruments. The effcets on the SNR for overlapped spectra in practical usage of this method are illustrated using simulated data and IMS spectra.

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