摘要
通过分析无人机数据记录仪记录参数的特点及野值产生的原因,提出了一种在噪声条件下采用奇异值分解和小波分析相结合的综合检测野值方法,即先用信号的奇异值阀值降噪算法来对飞行数据进行降噪处理;处理完后再用小波分析方法对降噪后的信号进行野值的检测,这样所得到的信号序列能准确提取出无人机记录仪所接收到的信号。仿真实验表明,该方法不仅降噪效果明显,而且能准确地检测并剔除接收信号中存在的野值。
Through analyzing the characteristics of the unmanned aerial vehicle （UAV） data recorder parameters and the reasons of the outliers, a method using singular value decomposition and wavelet analysis is put forward with the existence of noise to detect outliers with the combination of comprehensive, namely first use singular value threshold de-noising algorithm of signal to noise reduction processing for flight data. After processing with wavelet analysis method for noise reduction of signal detecting outliers, the resulting signal sequence can accurately extract the unmanned aerial vehicle （UAV） recorder by the received signal. The simulation results show that the method can not only reduce the noise but also accurately detect and remove outliers existing in the received signal.
出处
《光学仪器》
2014年第5期394-398,共5页
Optical Instruments
关键词
数据处理
奇异值分解
小波分析
数据记录仪
无人机
the data processing
singular value decomposition
the wavelet analysis
the data recorder
unmanned aerial vehicle（UAV）
