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吉林大学 通信工程学院,吉林 长春 130022
[ "石屹然(1984-),男,吉林长春人,副教授,2007年于长春理工大学获得学士学位,2010年于兰州理工大学获得硕士学位,2014年于吉林大学获得博士学位,现为吉林大学通信工程学院副教授,主要从事现代信号处理,模型预测控制等方面的研究。E-mail:shiyiran@jlu.edu.cn" ]
[ "赵 洋(1986-),男,吉林长春人,博士研究生,2009年于吉林大学获得学士学位,现为吉林大学通信工程学院博士研究生,主要从事阵列信号处理,信号检测及压缩感知理论研究。E-mail:zhaoyang_yes@163.com" ]
收稿日期:2020-12-30,
修回日期:2021-02-21,
纸质出版日期:2021-11-15
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石屹然,齐金伟,曲思凝等.α和高斯混合噪声背景下超声波风矢量测量[J].光学精密工程,2021,29(11):2734-2743.
SHI Yi-ran,QI Jin-wei,QU Si-ning,et al.Wind vector measurement based on ultrasonic sensors in the mixed noise of α and Gaussian noise[J].Optics and Precision Engineering,2021,29(11):2734-2743.
石屹然,齐金伟,曲思凝等.α和高斯混合噪声背景下超声波风矢量测量[J].光学精密工程,2021,29(11):2734-2743. DOI: 10.37188/OPE.20212911.2734.
SHI Yi-ran,QI Jin-wei,QU Si-ning,et al.Wind vector measurement based on ultrasonic sensors in the mixed noise of α and Gaussian noise[J].Optics and Precision Engineering,2021,29(11):2734-2743. DOI: 10.37188/OPE.20212911.2734.
针对α与高斯混合噪声下的超声波风矢量高精度、宽范围测量问题,本文提出了一种基于FLOM的双相测量方法。首先,利用FLOM算子对α与高斯混合噪声进行抑制,克服了传统的二阶矩以及高阶累计量无法在α和高斯混合噪声背景下使用的缺点。然后,将时延估计方法转化为相位估计方法,并利用参考信号的正交性,提出了一种基于FLOM的双相测量方法,消除了超声波传播过程中的幅值变化对测量精度的影响。仿真结果表明:在风速为0~70 m/s条件下,所提方法的测量精度与测量范围均高于时延估计方法;在信噪比为
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10 dB的条件下,风速的均方根误差仍小于1.5 m/s,风向角的均方根误差小于2°。实测结果表明:在强风条件下,风速的均方根误差为0.104 m/s,风向角的均方根误差为0.54°。本文所提方法能在α与高斯混合噪声条件下对风矢量进行精确估计,其结果明显优于时延估计方法。
To ensure high accuracy and a wide measurement range for wind vector measurement based on ultrasonic sensors in mixed noise containing α and Gaussian noise, a novel FLOM-based dual-phase measurement method is proposed in this paper. First, the FLOM operator is used to suppress mixed noise containing α and Gaussian noise; this eliminates the shortcomings of the traditional second-order moment and high-order cumulant, which cannot be used for mixed noise containing α and Gaussian noise. Then, the time delay estimation method is transformed into the phase estimation method, and a FLOM-based dual-phase measurement method based on the orthogonality of the reference signals is proposed. This method effectively eliminates the influence of the amplitude variation on the measurement accuracy. The simulation results show that the measurement accuracy and measurement range of the proposed method are higher than those of the traditional time delay estimation method under wind speeds of 0
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70 m/s. Even when the SNR is
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10 dB, the RMSE of wind speed measurement is less than 1.5 m/s, and that of wind direction angle measurement is less than 2°. Practical application results show that the RMSEs of wind speed and wind direction angle measurement are 0.104 m/s and 0.54°, respectively, under strong winds. The proposed method can estimate the wind vector in mixed noise containing α and Gaussian noise more accurately than the time delay estimation method can.
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