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计算机工程 ›› 2010, Vol. 36 ›› Issue (3): 260-262. doi: 10.3969/j.issn.1000-3428.2010.03.088

• 工程应用技术与实现 • 上一篇    下一篇

基于奇异值分解的飞行数据降噪方法

吕永乐,郎荣玲   

  1. (北京航空航天大学电子信息工程学院,北京 100191)
  • 收稿日期:1900-01-01 修回日期:1900-01-01 出版日期:2010-02-05 发布日期:2010-02-05

Noise Reduction Method for Flight Data Based on Singular Value Decomposition

LV Yong-le, LANG Rong-ling   

  1. (School of Electronic and Information Engineering, Beihang University, Beijing 100191)
  • Received:1900-01-01 Revised:1900-01-01 Online:2010-02-05 Published:2010-02-05

摘要: 为了消除或减少飞行数据中的有害噪声,提高信息利用率,提出基于奇异值分解的飞行数据降噪方法。将奇异值分解滤波器应用于机载装备状态记录数据的消噪处理中,得到一种新的门限确定方法,推导出滤波门限与信噪比间的数学关系。实验结果表明,该降噪方法效果显著,所确定门限值合理有效。

关键词: 飞行数据记录管理系统, 机载装备性能, 奇异值分解滤波器

Abstract: In order to eliminate and decrease the harmful noise of flight data, enhance the utilization of information, this paper proposes a noise reduction method for flight data Based on Singular Value Decomposition(SVD). It applies Singular Value Decomposition Filter(SVDF) in the pretreatment of flight data employed in airborne equipment status monitoring, gets a new decision method of threshold, deduces the mathematical relation between the threshold and Signal to Noise Ratio(SNR). Experimental results show that the effect of noise reduction is notable, the threshold value is reasonable and effective.

Key words: Flight Data Record &, Management System(FDRMS), performance of airborne equipment, Singular Value Decomposition Filter(SVDF)

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