CAJ | 학술논문

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.
위료소제혹감소비행수거중적유해조성,제고신식이용솔,제출기우기이치분해적비행수거강조방법.장기이치분해려파기응용우궤재장비상태기록수거적소조처리중,득도일충신적문한학정방법,추도출려파문한여신조비간적수학관계.실험결과표명,해강조방법효과현저,소학정문한치합리유효.
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.