极性相关与LMS算法的流速测量系统研究  

Research on Flow Velocity Measurement System with Polarity Correlation and LMS Algorithm

作　　者：周孟然[1] 闫鹏程[1] 穆璐 宫关[1] 张开远[1] 

机构地区：[1]安徽理工大学电气与信息工程学院,安徽淮南232001 [2]安徽科技学院数理与信息工程学院,安徽凤阳233100

出　　处：《安徽理工大学学报（自然科学版）》2014年第4期1-5,共5页Journal of Anhui University of Science and Technology:Natural Science

基　　金："十二五"国家科技支撑计划重点资助项目(2013BAK06B01)

摘　　要：为了解决恶劣环境中噪声等因素对流速测量系统的影响,提出了两种抗噪算法。首先概述了流体流速测量的基本原理,分析了极性相关算法的结构、电路实现、以及峰点位置确定,然后介绍了最小均方算法(LMS)在流速测量中的应用,并对两种算法进行了实验仿真。根据两者的蒙特卡洛法仿真实验可以看出,在无噪及-20d BW噪声条件下,两种算法皆可进行精确的流速测量,且峰点位置清晰。但在噪声功率增强达到-15d BW时,两者的实验仿真出现较大偏差。基于LMS算法仿真得出的测量速度依旧能良好的反应蒙特卡洛法设定速度,但是基于极性算法仿真得出的测量速度已经不能良好的反应蒙特卡洛法设定速度。在噪声功率达到-10d BW时,基于LMS算法仿真得出的数据依旧良好,此时基于极性算法仿真得出的数据已经完全失真。实验结果表明,在有噪环境中时,极性相关算法的测量精确度降低,而LMS算法因为能根据外界因素自动调节自身参数,仍然可以进行精确的流速测量。In order to solve the influence of noise in the harsh environment and other factors on the velocity measurement system, 2 anti - noise algorithms were put forward. At first the basic principle of measuring fluid velocity was presented, and the polarity correlation algorithm structure, circuit implementation, and the peak position determination were analyzed, then application of the least mean square algorithm （LMS） in the velocity measurement was presented, and simulation was carried out based on the two algorithms. According to the simu- lation results based on the 2 algorithms by the Monte Carlo method it can be seen, that in the absence of noise and -20dBW noise conditions, by using the 2 algorithms accurate flow velocity measurement can be done, and the peak position is clear. When the noise power reaches -15dBW, the deviation between the simulation results with the 2 algorithms is large. The velocity based on LMS algorithm simulation fits the velocity based on Monte Carlo method well, but the velocity based on the polarity correlation algorithm can＇ t fit the velocity based on the Monte Carlo method. When the noise power reaches - 10dBW, the result based on the LMS algorithm simulation is still good, but the result based on the polarity correlation algorithm is completely distorted. Experimental resuits showed that in noisy environment the measurement accuracy based on the polarity correlation algorithm reduces, while the LMS algorithm can automatically adjust its parameters to the external factors, so it can still have a accurate result in flow velocity measurement.

关 键 词：流速测量 极性相关算法 最小均方算法 峰点 

分 类 号：TK313[动力工程及工程热物理—热能工程]