摘要
机载经度、纬度、高度数据的精度,对保证飞机定位的精确性和飞行安全性有着重要意义。结合小波分解和经验模态分解(EMD)2种方法的优点,在小波分解的基础上,提出1种基于EMD的小波分解降噪方法。利用EMD对机载位置数据进行分解,并对高频分量用小波分解方法进行降噪处理,降噪后高频分量再结合低频分量进行重构得到降噪后的数据。以西安到长春某航班巡航阶段的机载高度数据序列为例,进行了仿真验证。结果表明,改进小波分解降噪方法与传统的小波分解降噪方法相比,信噪比提高了0.649,均方根误差减小了0.696 9,消噪效果更加明显。改进的小波分解方法在处理机载位置数据方面有着较明显的优点,可获得更精确的飞机三维数据。
The accuracy of airborne longitude？ latitude？ and altitude data is of significant importance for aircraft positioning and night safety.A dc-noising method of wavelet decomposition based on empirical mode decomposition （KMD.） is proposed. The airborne position data arc decomposed by and wavelet decomposition is applied for the process ofnoise reduction for high-frequency component. The reconstructed data arc thus obtained by combining low-frcqucncy component with noisc-rcduccd high-frequency component. Airborne altitude time series data during a cruise phase of one flight from Xi＇an to Changchun is collected for a ease study. Compared with traditional wavelet de-noising methods, the simulation results show that the signal to noise ratio （SNR.） is improved by 0.64 9 〉 and the root mean square error （RMSR） is reduced by 0.696 9 through using this improved method. The noise cancellation effect is found to be highly desired. ＂Phis improved method of wavelet decomposition appears to be effective in the processing of airborne location data and provides more accurate 3D representation of aircraft paths.
出处
《交通信息与安全》
2016年第4期90-95,共6页
Journal of Transport Information and Safety
关键词
航空信息
机载位置数据
降噪
小波分解
EMI)
aeronautical information
airborne location data
de-noising method
wavelet decomposition
KMD
