摘要
无人机搭载光电载荷进行目标定位,实际噪声对定位精度影响很大。为消除噪声影响、进一步提高定位精度,提出了定位数据实时降噪方法。该方法基于提升小波原理,给出了数据降噪的递推格式,并根据实际噪声的特点和分类,实时地识别并剔除数据中的脉冲噪声。实例仿真证明:该方法具有处理速度快、效果好的特点,满足定位算法对数据处理实时性的要求,实验也验证了该方法的正确性和实际可用性。
When the system of unmanned aerial vehicle with photoelectric payload conducts target passive location and tracking,the practical noises in the measurement data seriously affect the accuracy of target location.In order to eliminate the influence of noises and further improve the accuracy of target location,a method of real time noise reduction based on the principle of lifting wavelet was put forward with the queer data rejected and the recursive pattern presented.This method can fulfill the demand of real time processing or locating algorithm.The result experiment proves that the method is effective and feasible.
出处
《海军工程大学学报》
CAS
北大核心
2011年第6期20-24,共5页
Journal of Naval University of Engineering
基金
中国博士后科学基金资助项目(20090641460)
国家部委基金资助项目(513040303)
关键词
光电定位
无人机
提升小波
实际噪声
实时处理
photoelectric location
unmanned aerial vehicle
lifting wavelet
realistic noise
real time processing
