电子学报 ›› 2014, Vol. 42 ›› Issue (3): 491-497.DOI: 10.3969/j.iss.0372-2012-2014.03.011

• 学术论文 • 上一篇    下一篇

数据缺失情况下的空气流动速度估计算法

陈诚, 陶建武, 曾宾   

  1. 空军航空大学飞行器控制系, 吉林长春 130022
  • 收稿日期:2012-11-16 修回日期:2013-07-01 出版日期:2014-03-25
    • 作者简介:
    • 陈诚 男,1988年出生于江西九江,硕士.主要研究方向:阵列信号处理.E-mail:wsccandy@gmail.com
    • 基金资助:
    • 国家自然科学基金 (No.61172126)

Estimation of Airspeed in Case of Missing Data

CHEN Cheng, TAO Jian-wu, ZENG Bin   

  1. Flight Vehicle Control Department, Air Force Aviation University, Changchun, Jilin 130022, China
  • Received:2012-11-16 Revised:2013-07-01 Online:2014-03-25 Published:2014-03-25

摘要: 本文研究了在输出数据缺失的情况下空气流动速度(简称空速)估计问题.根据声波在气流中传播原理,给出了声矢量传感器线性阵列的输出模型.基于各个传感器输出信号幅值的差异,提出了两种空速估计算法,并给出了随机扰动补偿方法.在此基础上,针对阵列输出数据缺失的情况,提出了输出数据相关矩阵重构方法.此方法能够减少数据缺失对估计算法性能的影响,使得在某些传感器失效的情况下,估计算法仍能正常工作.仿真实验表明:在系统存在随机扰动时,两种算法具有较好的估计性能;在输出数据缺失情况下,经过对输出数据相关矩阵的重新构造,两种算法仍能保持较好的估计性能.

关键词: 阵列信号处理, 空气流动速度估计, 数据缺失, 声矢量传感器

Abstract: The airspeed estimate problem in case of missing data is researched in this paper.According to the propagation principle of acoustic wave in air current,the output model of an acoustic vector array is given.Two airspeed estimate algorithms are proposed based on the difference of output signal in amplitude of each sensor,and a method compensating random perturbation is given.In case of missing array's output data,a new method for reconstructing correlation matrix of output data is proposed.Using this method,the effect of missing data on the performance of airspeed estimate algorithms can be reduced.Thus,the airspeed estimate algorithms are still valid in case that some sensors fail.Simulation results show two airspeed estimate algorithms have better performance in the presence of random perturbation.By reconstructing correlation matrix of output data,two airspeed estimate algorithms can hold better performance in case of missing data.

Key words: array signal processing, airspeed estimation, data missing, acoustic vector sensor

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