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Burg算法与自相关在科氏流量计中的应用

Application of Burg algorithm and self-correlation in Coriolis mass flowmeter
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摘要 传统科氏流量计信号处理采用DFT谱分析方法,对数据进行加窗处理,导致谱分辨率降低。为提高谱分辨率,将Burg算法引入科氏流量计频率解算,无需对窗口之外数据进行假设。为解决信号初相以及噪声干扰对谱分辨率的影响,对Burg算法进行了分析并改进,引入了自相关算法。在此建立了科氏流量计的信号模型,采用Matlab对本算法进行仿真验证,结果表明该算法的解算精度优于一般流量计的要求,算法可以用于科氏流量计频率解算。 Traditional signal processing method of Coriolis mass flowmeter (CMF) is based on DFT to perform windowing processing of data, which leads to a low resolution. To improve the spectrum resolution ratio, this paper introduces the Burg algorithm into the frequency calculating of CMF without assuming the data out of data window. The Burg algorithm was ana- lyzed and modified, and the self-correlation is introduced to restrain the effect of primary phase and noise on the spectrum resolution. The the signal model of CMF is established in this paper. The simulation validation of the algorithm is carried out with Matlab. The simulation result shows that the precision of this algorithm is better than common requirement of CMF. This algorithm can be used in frequency calculating of CMF.
出处 《现代电子技术》 2012年第11期77-80,共4页 Modern Electronics Technique
关键词 科氏流量计 频率解算 功率谱估计算法 自相关 Coriolis mass flowmeter frequency resolving Burg algorithm self-correlation
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