Li Xinbo, Sun Haixin, Gao Wei, Shi Yaowu, Liu Guojun, Wu Yue
School of Communication Engineering, Jilin University, Renmin Street No.5988, Changchun 130022, China; School of Mechanical Science and Engineering, Jilin University, Renmin Street No.5988, Changchun 130022, China.
School of Mechanical Science and Engineering, Jilin University, Renmin Street No.5988, Changchun 130022, China; School of Electronic and Information Engineering, Changchun University, Weixing Road, No.6543, Changchun 130022, China.
ISA Trans. 2016 Nov;65:437-444. doi: 10.1016/j.isatra.2016.07.010. Epub 2016 Aug 16.
This article investigates a kind of method to measure the wind speed and the wind direction, which is based on arc ultrasonic sensor array and combined with array signal processing algorithm. In the proposed method, a new arc ultrasonic array structure is introduced and the array manifold is derived firstly. On this basis, the measurement of the wind speed and the wind direction is analyzed and discussed by means of the basic idea of the classic MUSIC (Multiple Signal Classification) algorithm, which achieves the measurements of the 360° wind direction with resolution of 1° and 0-60m/s wind speed with resolution of 0.1m/s. The implementation of the proposed method is elaborated through the theoretical derivation and corresponding discussion. Besides, the simulation experiments are presented to show the feasibility of the proposed method. The theoretical analysis and simulation results indicate that the proposed method has superiority on anti-noise performance and improves the wind measurement accuracy.
本文研究了一种基于弧形超声传感器阵列并结合阵列信号处理算法来测量风速和风向的方法。在所提出的方法中，首先引入了一种新的弧形超声阵列结构并推导了阵列流形。在此基础上，借助经典MUSIC（多重信号分类）算法的基本思想对风速和风向的测量进行了分析和讨论，该方法实现了360°风向测量，分辨率为1°，风速测量范围为0 - 60m/s，分辨率为0.1m/s。通过理论推导和相应讨论阐述了所提方法的实现过程。此外，给出了仿真实验以表明所提方法的可行性。理论分析和仿真结果表明，所提方法在抗噪声性能方面具有优越性，提高了风测量精度。
