| 基于改进小波分解的机载位置数据降噪处理 |
| |
| 引用本文： | 卢朝阳,付宇晓,杨璐璐.基于改进小波分解的机载位置数据降噪处理[J].交通信息与安全,2016,34(4):90-95. |
| |
| 作者姓名： | 卢朝阳 付宇晓 杨璐璐 |
| |
| 作者单位： | 南京航空航天大学民航学院 南京 211106 |
| |
| 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0.6969,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.
|
| 关 键 词： | 航空信息 机载位置数据 降噪 小波分解 EMD |
A De-noising Method of Airborne Location Data Based on the Improved Wavelet Decomposition |
| |
| Abstract: | The accuracy of airborne longitude,latitude,and altitude data is of significant importance for aircraft po-sitioning and flight safety.A de-noising method of wavelet decomposition based on empirical mode decomposition (EMD) is proposed.The airborne position data are decomposed by EMD and wavelet decomposition is applied for the process of noise reduction for high-frequency component.The reconstructed data are thus obtained by combining low-frequency com-ponent with noise-reduced high-frequency component.Airborne altitude time series data during a cruise phase of one flight from Xi′an to Changchun is collected for a case study.Compared with traditional wavelet de-noising methods,the simula-tion results show that the signal to noise ratio (SNR)is improved by 0.649,and the root mean square error (RMSE)is reduced by 0.696 9 through using this improved method.The noise cancellation effect is found to be highly desired.This 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. |
| |
| Keywords: | |
|
| 点击此处可从《交通信息与安全》浏览原始摘要信息 |
|
点击此处可从《交通信息与安全》下载全文 |
|
