吉林大学学报(信息科学版)

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基于 MVDR 波束形成算法的风速风向测量方法

西继东,朱阁彦,李新波,石要武   

  1. 吉林大学 通信工程学院,长春 130022
  • 收稿日期:2018-01-13 出版日期:2018-05-24 发布日期:2018-07-25
  • 作者简介:西继东( 1992— ) ,女,吉林四平人,吉林大学硕士研究生,主要从事阵列信号处理与测风结合方法研究,( Tel) 86-18843010915( E-mail) 18843010915@ 163. com; 石要武( 1954— ) ,男,长春人,吉林大学教授,博士生导师,主要从事现代信号处理理论与应用研究,( Tel) 86-13620781237( E-mail) shiyw@ jlu. edu. cn。

Wind Direction and Wind Direction Measurement Method Based on MVDR Beam-Forming Algorithm

XI Jidong,ZHU Geyan,LI Xinbo,SHI Yaowu   

  1. College of Communication Engineering,Jilin University,Changchun 130022,China
  • Received:2018-01-13 Online:2018-05-24 Published:2018-07-25

摘要: 为更好地抑制传统测风方法中噪声的问题,提出了基于 MVDR( Minimum Variance Distortioniess Response) 波束形成算法,结合一种特殊的弧形阵列的测风研究方法,通过使用四元超声波传感器弧形阵列结构获得冗余空间采样信息,并将阵列所接收信息进行最小方差无畸变响应的波束形成算法处理,从而估计待测的风速风向信息。仿真结果表明,该方法可实现对风速 0 ~ 60 m/s 与风向角 0 ~ 359°的估计,可实现对风速以及风向的准确测量。

关键词: 弧形阵列, 风速风向测量, MVDR 波束形成

Abstract: There are few methods to restrain noise in the traditional method of measuring wind. In order to better suppress the noise problem,a new method of wind measurement is proposed,which bases on the MVDR( Minimum Variance Distortioniess Response) beamforming algorithm and combines with a special arc array.Redundant spatial sampling information is obtained by using a four element ultrasonic sensor arc array,and the information received by the array is processed by the MVDR beam-forming algorithm to estimate the wind speed and direction information that to be measured. The simulation results show that the estimation of wind speed 0 ~ 60 m /s and wind direction angle 0 ~ 360° can be easily realized. The method is superior to the noise resistance and can be used to measure the wind speed and wind direction angle accurately.

Key words: minimum variance distortioniess response( MVDR) beamforming, arc array, wind speed and wind direction measurement

中图分类号: 

  • TN911